(?&y_winding))(?P(?&p_set_1))" # yy
- "|(?P(?&y_winding))(?P(?&d_winding))(?P(?&p_set_2))" # yd
- "|(?P(?&y_winding))(?P(?&z_winding))(?P(?&p_set_2))" # yz
- "|(?P(?&d_winding))(?P(?&z_winding))(?P(?&p_set_1))" # dz
- "|(?P(?&d_winding))(?P(?&y_winding))(?P(?&p_set_2))" # dy
- "|(?P(?&d_winding))(?P(?&d_winding))(?P(?&p_set_1)))", # dd
- regex.IGNORECASE,
- )
- """The pattern to extract the winding of the primary and of the secondary of the transformer."""
-
- @ureg_wraps(None, (None, None, None, "V", "V", "VA", "ohm", "S", "VA", None, None, None))
+ # fmt: off
+ allowed_vector_groups: Final = {
+ # Three-phase
+ "Dd0", "Dd6", # Delta-delta
+ "Yy0", "Yy6", "Yyn0", "Yyn6", "Yny0", "Yny6", "Ynyn0", "Ynyn6", # Wye-wye
+ "Dy5", "Dy11", "Dyn5", "Dyn11", # Delta-wye
+ "Dz0", "Dz6", "Dzn0", "Dzn6", # Delta-zigzag
+ "Yd5", "Yd11", "Ynd5", "Ynd11", # Wye-delta
+ "Yz5", "Yz11", "Yzn5", "Yzn11", "Ynz5", "Ynz11", "Ynzn5", "Ynzn11", # Wye-zigzag
+ # Single-phase
+ "Ii0", "Ii6",
+ # Center-tapped
+ "Iii0", "Iii6",
+ }
+ """Allowed vector groups for transformers."""
+ # fmt: on
+
+ @ureg_wraps(None, (None, None, None, "V", "V", "VA", "ohm", "S", None, None, None))
def __init__(
self,
id: Id,
- type: str,
+ *,
+ vg: str,
uhv: float | Q_[float],
ulv: float | Q_[float],
sn: float | Q_[float],
z2: complex | Q_[complex],
ym: complex | Q_[complex],
- max_power: float | Q_[float] | None = None,
manufacturer: str | None = None,
range: str | None = None,
efficiency: str | None = None,
@@ -55,16 +57,23 @@ def __init__(
id:
A unique ID of the transformer parameters, typically its canonical name.
- type:
- The type of transformer parameters. It can be "single" for single-phase transformers, "center" for
- center-tapped transformers, or the name of the windings such as "Dyn11" for three-phase transformers.
- Allowed windings are "D" for delta, "Y" for wye (star), and "Z" for zigzag.
+ vg:
+ The vector group of the transformer.
+
+ For three-phase transformers, ``Dyn11`` denotes a delta-wye connection with -30° phase
+ displacement. Allowed windings are ``D`` for delta, ``Y`` for wye, ``Z`` for zigzag.
+
+ For single-phase transformers, ``Ii0`` denotes a normal in-phase connection and
+ ``Ii6`` denotes an inverted connection.
+
+ For center-tapped transformers, ``Iii0`` denotes a normal in-phase connection and
+ ``Iii6`` denotes an inverted connection.
uhv:
- Phase-to-phase nominal voltages of the high voltages side (V)
+ Rated phase-to-phase voltage of the HV side (V)
ulv:
- Phase-to-phase nominal voltages of the low voltages side (V)
+ Rated no-load phase-to-phase voltage of the LV side (V)
sn:
The nominal power of the transformer (VA)
@@ -75,68 +84,75 @@ def __init__(
ym:
The magnetizing admittance located at the primary side of the transformer.
- max_power:
- The maximum power loading of the transformer (VA). It is not used in the load flow.
-
manufacturer:
- The name of the manufacturer for the transformer. Informative only, it has no impact on the load flow.
+ The name of the manufacturer for the transformer. Informative only, it has no impact
+ on the load flow. It is filled automatically when the parameters when imported from
+ the catalogue.
range:
- The name of the product range for the transformer. Informative only, it has no impact on the load flow.
+ The product range for the transformer as defined by the manufacturer. Informative
+ only, it has no impact on the load flow. It is filled automatically when the
+ parameters when imported from the catalogue.
efficiency:
- The efficiency class of the transformer. Informative only, it has no impact on the load flow.
+ The efficiency class of the transformer. Informative only, it has no impact on the
+ load flow. It is filled automatically when the parameters when imported from the
+ catalogue. The efficiency class used in the catalogue follows the `Eco-Design`
+ requirements as defined by the `EN 50629` standard.
"""
super().__init__(id)
# Check
if uhv < ulv:
msg = (
- f"Transformer type {id!r} has the low voltages higher than the high voltages: "
- f"uhv={uhv:.2f} V and ulv={ulv:.2f} V."
+ f"Transformer parameters {id!r} has the low voltage higher than the high voltage: "
+ f"uhv={uhv!s} V and ulv={ulv!s} V."
)
logger.error(msg)
raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_TRANSFORMER_VOLTAGES)
-
if np.isclose(z2, 0.0):
- msg = f"Transformer type {id!r} has a null series impedance z2. Ideal transformers are not supported."
+ msg = (
+ f"Transformer parameters {id!r} has a null series impedance z2. Ideal transformers "
+ f"are not supported yet."
+ )
logger.error(msg)
raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_TRANSFORMER_IMPEDANCE)
+ # Extract the windings of the primary and the secondary of the transformer
+ winding1, winding2, phase_displacement = self.extract_windings(vg=vg)
+ w1, w2 = winding1[0], winding2[0]
+
+ self._vg: str = vg
self._sn: float = sn
self._uhv: float = uhv
self._ulv: float = ulv
self._z2: complex = z2
self._ym: complex = ym
- self._manufacturer: str = manufacturer
- self._range: str = range
- self._efficiency: str = efficiency
-
- if type in ("single", "center"):
- winding1 = winding2 = phase_displacement = None
- else:
- # Extract the windings of the primary and the secondary of the transformer
- winding1, winding2, phase_displacement = self.extract_windings(string=type)
-
- assert phase_displacement in {0, 5, 6, 11}, phase_displacement
- # Change the voltages if the reference voltages is phase to neutral
- w1, w2 = winding1[0].upper(), winding2[0].lower()
- if w1 == "Y":
- uhv /= np.sqrt(3.0)
- elif w1 == "Z":
- uhv /= 3.0
- if w2 == "y":
- ulv /= np.sqrt(3.0)
- elif w2 == "z":
- ulv /= 3.0
+ self._manufacturer: str | None = manufacturer
+ self._range: str | None = range
+ self._efficiency: str | None = efficiency
+
+ # Change the voltages if the reference voltages is phase-to-neutral
+ if w1 == "Y":
+ uhv /= np.sqrt(3.0)
+ elif w1 == "Z":
+ uhv /= 3.0
+ if w2 == "y":
+ ulv /= np.sqrt(3.0)
+ elif w2 == "z":
+ ulv /= 3.0
+
+ n_of_winding = {"y": 4, "z": 4, "d": 3, "i": 2, "ii": 3}
+ n1 = n_of_winding[w1.lower()]
+ n2 = n_of_winding[w2.lower()]
self._k: float = ulv / uhv
self._orientation: float = -1.0 if phase_displacement in {5, 6} else 1.0
- self.winding1: str | None = winding1
- self.winding2: str | None = winding2
- self.phase_displacement: Literal[0, 5, 6, 11] | None = phase_displacement
- self.type = type
- self.max_power = max_power
+ self._n1: int = n1
+ self._n2: int = n2
+ self._winding1: str = winding1
+ self._winding2: str = winding2
+ self._phase_displacement: int = phase_displacement
# Filled using alternative constructor `from_open_and_short_circuit_tests`
self._p0: float | None = None
@@ -145,12 +161,8 @@ def __init__(
self._vsc: float | None = None
def __repr__(self) -> str:
- s = (
- f"<{type(self).__name__}: id={self.id!r}, type={self.type!r}, sn={self._sn}, uhv={self._uhv}, "
- f"ulv={self._ulv}"
- )
+ s = f"<{type(self).__name__}: id={self.id!r}, vg={self._vg!r}, sn={self._sn}, uhv={self._uhv}, ulv={self._ulv}"
for attr, val, tp in (
- ("max_power", self._max_power, float),
("p0", self._p0, float),
("i0", self._i0, float),
("psc", self._psc, float),
@@ -168,26 +180,87 @@ def __eq__(self, other: object) -> bool:
if not isinstance(other, TransformerParameters):
return NotImplemented
else:
- return (
+ return bool(
self.id == other.id
- and self.type == other.type
+ and self._vg == other._vg
and np.isclose(self._sn, other._sn)
and np.isclose(self._uhv, other._uhv)
and np.isclose(self._ulv, other._ulv)
and np.isclose(self._z2, other._z2)
and np.isclose(self._ym, other._ym)
+ and self._manufacturer == other._manufacturer
+ and self._range == other._range
+ and self._efficiency == other._efficiency
)
+ @property
+ def type(self) -> Literal["three-phase", "single-phase", "center-tapped"]:
+ """The type of transformer parameters.
+
+ It can be ``three-phase``, ``single-phase`` or ``center-tapped``.
+ """
+ if self._vg in ("Ii0", "Ii6"):
+ return "single-phase"
+ elif self._vg in ("Iii0", "Iii6"):
+ return "center-tapped"
+ else:
+ return "three-phase"
+
+ @property
+ def vg(self) -> str:
+ """The vector group of the transformer.
+
+ For three-phase transformers, ``Dyn11`` denotes a delta-wye connection with 30° lead phase
+ displacement. Allowed windings are ``D`` for delta, ``Y`` for wye, ``Z`` for zigzag.
+
+ For single-phase transformers, ``Ii0`` denotes a normal in-phase connection and ``Ii6``
+ denotes an inverted connection.
+
+ For center-tapped transformers, ``Iii0`` denotes a normal in-phase connection and ``Iii6``
+ denotes an inverted connection.
+ """
+ return self._vg
+
+ @property
+ def winding1(self) -> str:
+ """The primary winding of the transformer.
+
+ The following values are used:
+ - ``D``: a Delta connection
+ - ``Y`` or ``Yn``: a Wye connection
+ - ``Z`` or ``Zn``: a Zigzag connection
+ - ``I``: single-phase
+ """
+ return self._winding1
+
+ @property
+ def winding2(self) -> str:
+ """The secondary winding of the transformer.
+
+ The following values are used:
+ - ``d``: a Delta connection
+ - ``y`` or ``yn``: a Wye connection
+ - ``z`` or ``zn``: a Zigzag connection
+ - ``i``: single-phase
+ - ``ii`` split-phase (i.e center-tapped)
+ """
+ return self._winding2
+
+ @property
+ def phase_displacement(self) -> int:
+ """The phase rotation as indicated by the vector group."""
+ return self._phase_displacement
+
@property
@ureg_wraps("V", (None,))
def uhv(self) -> Q_[float]:
- """Phase-to-phase nominal voltages of the high voltages side (V)."""
+ """Rated phase-to-phase voltage of the HV side (V)."""
return self._uhv
@property
@ureg_wraps("V", (None,))
def ulv(self) -> Q_[float]:
- """Phase-to-phase nominal voltages of the low voltages side (V)."""
+ """Rated no-load phase-to-phase voltage of the LV side (V)."""
return self._ulv
@property
@@ -219,16 +292,6 @@ def orientation(self) -> float:
"""The orientation of the transformer: 1 for direct windings or -1 for reverse windings."""
return self._orientation
- @property
- def max_power(self) -> Q_[float] | None:
- """The maximum power loading of the transformer (VA) if it is set."""
- return None if self._max_power is None else Q_(self._max_power, "VA")
-
- @max_power.setter
- @ureg_wraps(None, (None, "VA"))
- def max_power(self, value: float | Q_[float] | None) -> None:
- self._max_power = value
-
@property
def p0(self) -> Q_[float] | None:
"""Losses during open-circuit test (W)."""
@@ -251,48 +314,37 @@ def vsc(self) -> Q_[float] | None:
@property
def manufacturer(self) -> str | None:
- """The name of the manufacturer for the transformer. Informative only, it has no impact on the load flow."""
+ """The name of the manufacturer for the transformer.
+
+ Informative only, it has no impact on the load flow. It is filled automatically when the
+ parameters are imported from the catalogue.
+ """
return self._manufacturer
@property
def range(self) -> str | None:
- """The name of the product range for the transformer. Informative only, it has no impact on the load flow."""
+ """The product range for the transformer as defined by the manufacturer.
+
+ Informative only, it has no impact on the load flow. It is filled automatically when the
+ parameters are imported from the catalogue.
+ """
return self._range
@property
def efficiency(self) -> str | None:
- """The efficiency class of the transformer. Informative only, it has no impact on the load flow."""
- return self._efficiency
-
- @deprecated(
- "The to_zyk method of TransformerParameters is deprecated. The parameters"
- "`z2`, `ym`, `k`, and `orientation` are now accessible on the object directly",
- category=FutureWarning,
- )
- @ureg_wraps(("ohm", "S", "", None), (None,))
- def to_zyk(self) -> tuple[Q_[complex], Q_[complex], Q_[float], float]:
- """Get the transformer parameters ``z2``, ``ym``, ``k`` and ``orientation`` mandatory for some models.
+ """The efficiency class of the transformer.
- Where:
- * ``z2``: The series impedance of the transformer (Ohms).
- * ``ym``: The magnetizing admittance of the transformer (Siemens).
- * ``k``: The transformation ratio.
- * ``orientation``: 1 for direct winding, -1 for reverse winding.
-
- Returns:
- The parameters (``z2``, ``ym``, ``k``, ``orientation``).
+ Informative only, it has no impact on the load flow. It is filled automatically when the
+ parameters imported from the catalogue. The efficiency class used in the catalogue follows
+ the `Eco-Design` requirements as defined by the `EN 50629` standard.
"""
- return self._z2, self._ym, self._k, self._orientation
+ return self._efficiency
@classmethod
def _compute_zy(
- cls, type: str, uhv: float, ulv: float, sn: float, p0: float, i0: float, psc: float, vsc: float
+ cls, vg: str, uhv: float, ulv: float, sn: float, p0: float, i0: float, psc: float, vsc: float
) -> tuple[complex, complex]:
- if type in ("single", "center"):
- winding1, winding2 = None, None
- else:
- winding1, winding2, _ = cls.extract_windings(string=type)
- winding1, winding2 = winding1[0].upper(), winding2[0].lower()
+ w1, w2, _ = cls.extract_windings(vg=vg)
# Off-load test
# Iron losses resistance (Ohm)
@@ -315,9 +367,9 @@ def _compute_zy(
l2_omega = np.sqrt((vsc * ulv**2 / sn) ** 2 - r2**2)
z2 = r2 + 1j * l2_omega
- if winding1 == "D":
+ if w1[0] == "D":
ym /= 3
- if winding2 == "d":
+ if w2[0] == "d":
z2 *= 3
return z2, ym
@@ -339,7 +391,6 @@ def _compute_zy(
"kW",
"percent",
"kW",
- "percent",
None,
None,
None,
@@ -360,7 +411,6 @@ def from_power_factory(
pc: float | Q_[float],
curmg: float | Q_[float],
pfe: float | Q_[float],
- maxload: float | Q_[float] | None = 100,
manufacturer: str | None = None,
range: str | None = None,
efficiency: str | None = None,
@@ -382,12 +432,12 @@ def from_power_factory(
PwF parameter `strn` (Rated Power). The rated power of the transformer in (MVA).
uhv:
- PwF parameter `utrn_h` (Rated Voltage HV-Side). The rated phase to phase voltage of
- the transformer on the high voltage side.
+ PwF parameter `utrn_h` (Rated Voltage HV-Side). The rated phase-to-phase voltage of
+ the transformer on the HV side.
ulv:
- PwF parameter `utrn_l` (Rated Voltage LV-Side). The rated phase to phase voltage of
- the transformer on the low voltage side.
+ PwF parameter `utrn_l` (Rated Voltage LV-Side). The rated phase-to-phase voltage of
+ the transformer on the LV side.
vg_hv:
PwF parameter `tr2cn_h` (Vector Group HV-Side). The vector group of the high voltage
@@ -419,20 +469,17 @@ def from_power_factory(
PwF parameter `pfe` (Magnetizing Impedance - No Load Losses). The magnetizing
impedance i.e. the power losses in (kW) obtained from the no-load test.
- maxload:
- PwF parameter `maxload` (Max. Thermal Loading Limit). The maximum loading of the
- transformer in (%) of the nominal power. This parameter is defined on the transformer
- element (`ElmTr2`) in PwF instead of the transformer type (`TypTr2`).
- This is used to compute `max_current` and is used for violation checks.
-
manufacturer:
- The name of the manufacturer for the transformer. Informative only, it has no impact on the load flow.
+ The name of the manufacturer for the transformer. Informative only, it has no impact
+ on the load flow.
range:
- The name of the product range for the transformer. Informative only, it has no impact on the load flow.
+ The name of the product range for the transformer. Informative only, it has no impact
+ on the load flow.
efficiency:
- The efficiency class of the transformer. Informative only, it has no impact on the load flow.
+ The efficiency class of the transformer. Informative only, it has no impact on the
+ load flow.
Returns:
The corresponding transformer parameters object.
@@ -440,9 +487,9 @@ def from_power_factory(
# Type: from vector group data and technology
tech_norm = str(tech).upper().replace(" ", "-")
if tech_norm.startswith("SINGLE-PHASE") or tech_norm == "2":
- type = "single"
+ vg = "Ii0" # TODO do we have vector group data for single-phase transformers?
elif tech_norm.startswith("THREE-PHASE") or tech_norm == "3":
- type = f"{vg_hv.upper()}{vg_lv.lower()}{phase_shift}"
+ vg = f"{vg_hv.upper()}{vg_lv.lower()}{phase_shift}"
else:
msg = f"Expected tech='single-phase' or 'three-phase', got {tech!r} for transformer parameters {id!r}."
logger.error(msg)
@@ -456,24 +503,20 @@ def from_power_factory(
i0 = curmg / 100
vsc = uk / 100
- z2, ym = cls._compute_zy(type=type, uhv=uhv, ulv=ulv, sn=sn, p0=p0, i0=i0, psc=psc, vsc=vsc)
-
- max_power = (sn * maxload / 100) if maxload is not None else None
+ z2, ym = cls._compute_zy(vg=vg, uhv=uhv, ulv=ulv, sn=sn, p0=p0, i0=i0, psc=psc, vsc=vsc)
- obj = cls(
+ return cls(
id=id,
- type=type,
+ vg=vg,
uhv=uhv,
ulv=ulv,
sn=sn,
z2=z2,
ym=ym,
- max_power=max_power,
manufacturer=manufacturer,
range=range,
efficiency=efficiency,
)
- return obj
@classmethod
@ureg_wraps(
@@ -490,7 +533,6 @@ def from_power_factory(
"percent",
"percent",
"percent",
- "kVA",
None,
None,
None,
@@ -509,7 +551,6 @@ def from_open_dss(
noloadloss: float | Q_[float] = 0,
imag: float | Q_[float] = 0,
rs: float | Q_[float] | tuple[float, float] | FloatArrayLike1D | None = None,
- normhkva: float | Q_[float] | None = None,
manufacturer: str | None = None,
range: str | None = None,
efficiency: str | None = None,
@@ -528,7 +569,7 @@ def from_open_dss(
kvs:
OpenDSS parameter: `KVs`. Rated phase-to-phase voltage of the windings, kV. This is
- a sequence of two values equivalent to (Uhv, Ulv).
+ a sequence of two values equivalent to (Up, Us).
kvas:
OpenDSS parameter: `KVAs`. Base kVA rating (OA rating) of the windings. Note that
@@ -562,26 +603,24 @@ def from_open_dss(
with `loadloss`, they have to have equivalent values. For a two-winding transformer,
`%rs=[0.1, 0.1]` is equivalent to `%loadloss=0.2`.
- normhkva:
- OpenDSS parameter: `NormHKVA`. Normal maximum kVA rating for H winding (1). Usually
- 100 - 110% of maximum nameplate rating.
- This value is passed to `max_current` and used for violation checks.
-
manufacturer:
- The name of the manufacturer for the transformer. Informative only, it has no impact on the load flow.
+ The name of the manufacturer for the transformer. Informative only, it has no impact
+ on the load flow.
range:
- The name of the product range for the transformer. Informative only, it has no impact on the load flow.
+ The name of the product range for the transformer. Informative only, it has no impact
+ on the load flow.
efficiency:
- The efficiency class of the transformer. Informative only, it has no impact on the load flow.
+ The efficiency class of the transformer. Informative only, it has no impact on the
+ load flow.
Returns:
The corresponding transformer parameters object.
Example usage::
- # DSS command: `DSSText.Command = "New transformer.LVTR Buses=[sourcebus, A.1.2.3] Conns=[delta wye] KVs=[11, 0.4] KVAs=[250 250] %Rs=0.00 xhl=2.5 %loadloss=0 "`
+ # DSS command: `New transformer.LVTR Buses=[sourcebus, A.1.2.3] Conns=[delta wye] KVs=[11, 0.4] KVAs=[250 250] %Rs=0.00 xhl=2.5 %loadloss=0`
tp = rlf.TransformerParameters.from_open_dss(
id="dss-tp",
conns=("delta", "wye"),
@@ -632,8 +671,8 @@ def from_open_dss(
else:
phase_displacement = 0 # TODO is leadlag used with Dd or Yy transformers?
- # Type: from winding and lead-lag parameters
- type = f"{w1}{w2}{phase_displacement}"
+ # Vector Group: from winding and lead-lag parameters
+ vg = f"{w1}{w2}{phase_displacement}"
# High and low rated voltages
uhv, ulv = (u * 1000 for u in kvs) # in Volts
@@ -671,35 +710,31 @@ def from_open_dss(
i0 = imag / 100
psc = (loadloss / 100) * sn
vsc = xhl / 100
- z2, ym = cls._compute_zy(type=type, uhv=uhv, ulv=ulv, sn=sn, p0=p0, i0=i0, psc=psc, vsc=vsc)
-
- # Max power
- max_power = normhkva * 1000 if normhkva is not None else None
+ z2, ym = cls._compute_zy(vg=vg, uhv=uhv, ulv=ulv, sn=sn, p0=p0, i0=i0, psc=psc, vsc=vsc)
- obj = cls(
+ return cls(
id=id,
- type=type,
+ vg=vg,
uhv=uhv,
ulv=ulv,
sn=sn,
z2=z2,
ym=ym,
- max_power=max_power,
manufacturer=manufacturer,
range=range,
efficiency=efficiency,
)
- return obj
#
# Open and short circuit tests
#
@classmethod
- @ureg_wraps(None, (None, None, None, "V", "V", "VA", "W", "", "W", "", "VA", None, None, None))
+ @ureg_wraps(None, (None, None, None, "V", "V", "VA", "W", "", "W", "", None, None, None))
def from_open_and_short_circuit_tests(
cls,
id: Id,
- type: str,
+ *,
+ vg: str,
uhv: float | Q_[float],
ulv: float | Q_[float],
sn: float | Q_[float],
@@ -707,7 +742,6 @@ def from_open_and_short_circuit_tests(
i0: float | Q_[float],
psc: float | Q_[float],
vsc: float | Q_[float],
- max_power: float | Q_[float] | None = None,
manufacturer: str | None = None,
range: str | None = None,
efficiency: str | None = None,
@@ -718,43 +752,54 @@ def from_open_and_short_circuit_tests(
id:
A unique ID of the transformer parameters, typically its canonical name.
- type:
- The type of transformer parameters. It can be "single" for single-phase transformers, "center" for
- center-tapped transformers, or the name of the windings such as "Dyn11" for three-phase transformers.
- Allowed windings are "D" for delta, "Y" for wye (star), and "Z" for zigzag.
+ vg:
+ The vector group of the transformer.
+
+ For three-phase transformers, ``Dyn11`` denotes a delta-wye connection with -30° phase
+ displacement. Allowed windings are ``D`` for delta, ``Y`` for wye, ``Z`` for zigzag.
+
+ For single-phase transformers, ``Ii0`` denotes a normal in-phase connection and
+ ``Ii6`` denotes an inverted connection.
+
+ For center-tapped transformers, ``Iii0`` denotes a normal in-phase connection and
+ ``Iii6`` denotes an inverted connection.
uhv:
- Phase-to-phase nominal voltages of the high voltages side (V)
+ Rated phase-to-phase voltage of the HV side (V).
ulv:
- Phase-to-phase nominal voltages of the low voltages side (V)
+ Rated no-load phase-to-phase voltage of the LV side (V).
sn:
- The nominal power of the transformer (VA)
+ The nominal power of the transformer (VA).
p0:
- Losses during open-circuit test (W)
+ Losses during open-circuit test (W).
i0:
- Current during open-circuit test (%)
+ Current during open-circuit test (%).
psc:
- Losses during short-circuit test (W)
+ Losses during short-circuit test (W).
vsc:
- Voltages on LV side during short-circuit test (%)
-
- max_power:
- The maximum power loading of the transformer (VA). It is not used in the load flow.
+ Voltages on LV side during short-circuit test (%).
manufacturer:
- The name of the manufacturer for the transformer. Informative only, it has no impact on the load flow.
+ The name of the manufacturer for the transformer. Informative only, it has no impact
+ on the load flow. It is filled automatically when the parameters when imported from
+ the catalogue.
range:
- The name of the product range for the transformer. Informative only, it has no impact on the load flow.
+ The product range for the transformer as defined by the manufacturer. Informative
+ only, it has no impact on the load flow. It is filled automatically when the
+ parameters when imported from the catalogue.
efficiency:
- The efficiency class of the transformer. Informative only, it has no impact on the load flow.
+ The efficiency class of the transformer. Informative only, it has no impact on the
+ load flow. It is filled automatically when the parameters when imported from the
+ catalogue. The efficiency class used in the catalogue follows the `Eco-Design`
+ requirements as defined by the `EN 50629` standard.
"""
# Check
if i0 > 1.0 or i0 < 0.0:
@@ -774,7 +819,7 @@ def from_open_and_short_circuit_tests(
if psc / sn > vsc:
msg = (
f"Invalid short-circuit results for transformer parameters {id!r}. The following "
- f"inequality must be respected: psc/sn <= vsc"
+ f"inequality must be respected: psc/sn <= vsc, got {psc/sn=:f} and {vsc=:f}."
)
logger.error(msg)
raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_TRANSFORMER_PARAMETERS)
@@ -784,17 +829,16 @@ def from_open_and_short_circuit_tests(
f"i0 * sn > p0. The magnetizing admittance imaginary part will be null."
)
- z2, ym = cls._compute_zy(type=type, uhv=uhv, ulv=ulv, sn=sn, p0=p0, i0=i0, psc=psc, vsc=vsc)
+ z2, ym = cls._compute_zy(vg=vg, uhv=uhv, ulv=ulv, sn=sn, p0=p0, i0=i0, psc=psc, vsc=vsc)
instance = cls(
id=id,
- type=type,
+ vg=vg,
uhv=uhv,
ulv=ulv,
sn=sn,
z2=z2,
ym=ym,
- max_power=max_power,
manufacturer=manufacturer,
range=range,
efficiency=efficiency,
@@ -817,56 +861,52 @@ def _compute_open_circuit_parameters(self, solve_kwargs: JsonDict | None = None)
Returns:
The values ``p0``, the losses (in W), and ``i0``, the current (in %) during open-circuit test.
"""
- from roseau.load_flow.converters import _calculate_voltages
from roseau.load_flow.models import Bus, PotentialRef, Transformer, VoltageSource
from roseau.load_flow.network import ElectricalNetwork
if solve_kwargs is None:
solve_kwargs = {}
- if self.type == "single":
+ voltage = self._uhv
+ if self.type == "single-phase":
phases_hv = "ab"
phases_lv = "ab"
- voltages = [self._uhv]
- elif self.type == "center":
+ elif self.type == "center-tapped":
phases_hv = "ab"
phases_lv = "abn"
- voltages = [self._uhv]
else:
# Three-phase transformer
- phases_hv = "abc" if self.winding1.lower().startswith("d") else "abcn"
- phases_lv = "abc" if self.winding2.lower().startswith("d") else "abcn"
+ phases_hv = "abc" if self.winding1[0] == "D" else "abcn"
+ phases_lv = "abc" if self.winding2[0] == "d" else "abcn"
if "n" in phases_hv:
- voltages = self._uhv / np.sqrt(3) * np.exp([0, -2j * np.pi / 3, 2j * np.pi / 3])
- else:
- voltages = _calculate_voltages(
- potentials=self._uhv / np.sqrt(3) * np.exp([0, -2j * np.pi / 3, 2j * np.pi / 3]), phases="abc"
- )
+ voltage /= np.sqrt(3)
bus_hv = Bus(id="BusHV", phases=phases_hv)
bus_lv = Bus(id="BusLV", phases=phases_lv)
PotentialRef(id="PRefHV", element=bus_hv)
PotentialRef(id="PRefLV", element=bus_lv)
- VoltageSource(id="VS", bus=bus_hv, voltages=voltages)
+ VoltageSource(id="VS", bus=bus_hv, voltages=voltage)
transformer = Transformer(id="Transformer", bus1=bus_hv, bus2=bus_lv, parameters=self)
en = ElectricalNetwork.from_element(bus_hv)
en.solve_load_flow(**solve_kwargs)
p_primary = transformer.res_powers[0].m.sum().real
i_primary = abs(transformer.res_currents[0].m[0])
- in_ = self._sn / self._uhv if self.type in ("single", "center") else self._sn / (np.sqrt(3) * self._uhv)
+ i_nom = self._sn / self._uhv
+ if self.type == "three-phase":
+ i_nom /= np.sqrt(3)
# Additional checks
- u_secondary = abs(_calculate_voltages(potentials=bus_lv.res_potentials.m, phases=phases_lv))
- if self.type == "single":
+ u_secondary = abs(bus_lv.res_voltages.m)
+ if self.type == "single-phase":
expected_u_secondary = self._ulv
- elif self.type == "center":
+ elif self.type == "center-tapped":
expected_u_secondary = self._ulv / 2
else:
expected_u_secondary = self._ulv / np.sqrt(3)
np.testing.assert_allclose(u_secondary, expected_u_secondary)
- return p_primary, i_primary / in_
+ return p_primary, i_primary / i_nom
@ureg_wraps(("W", ""), (None, None))
def _compute_short_circuit_parameters(self, solve_kwargs: JsonDict | None = None) -> tuple[Q_[float], Q_[float]]:
@@ -874,50 +914,39 @@ def _compute_short_circuit_parameters(self, solve_kwargs: JsonDict | None = None
Args:
solve_kwargs:
- The keywords arguments used by the :meth:`ElectricalNetwork.solve_load_flow` method. By default, the
- default arguments of the method are used.
+ The keywords arguments used by the :meth:`ElectricalNetwork.solve_load_flow` method.
+ By default, the default arguments of the method are used.
Returns:
The values ``psc``, the losses (in W), and ``vsc``, the voltages on LV side (in %) during short-circuit
test.
"""
- from roseau.load_flow.converters import _calculate_voltages
from roseau.load_flow.models import Bus, PotentialRef, Transformer, VoltageSource
from roseau.load_flow.network import ElectricalNetwork
if solve_kwargs is None:
solve_kwargs = {}
- potentials_hv = None
- potentials_lv = None
vsc = abs(self._z2) * self._sn / self._ulv**2
- if self.type == "single":
+ voltage = vsc * self._uhv
+ if self.type == "single-phase":
phases_hv = "ab"
phases_lv = "ab"
- voltages = [vsc * self._uhv]
- elif self.type == "center":
+ elif self.type == "center-tapped":
phases_hv = "ab"
phases_lv = "abn"
- voltages = [vsc * self._uhv]
- # TODO: The initialization of potentials seems very bad in the case of such short-circuit...
- potentials_hv = [vsc * self._uhv, -vsc * self._uhv]
- potentials_lv = [0, 0, 0]
else:
# Three-phase transformer
- phases_hv = "abc" if self.winding1.lower().startswith("d") else "abcn"
- phases_lv = "abc" if self.winding2.lower().startswith("d") else "abcn"
+ phases_hv = "abc" if self.winding1[0] == "D" else "abcn"
+ phases_lv = "abc" if self.winding2[0] == "d" else "abcn"
if "n" in phases_hv:
- voltages = vsc * self._uhv / np.sqrt(3) * np.exp([0, -2j * np.pi / 3, 2j * np.pi / 3])
- else:
- voltages = _calculate_voltages(
- potentials=vsc * self._uhv / np.sqrt(3) * np.exp([0, -2j * np.pi / 3, 2j * np.pi / 3]), phases="abc"
- )
+ voltage /= np.sqrt(3)
- bus_hv = Bus(id="BusHV", phases=phases_hv, potentials=potentials_hv)
- bus_lv = Bus(id="BusLV", phases=phases_lv, potentials=potentials_lv)
+ bus_hv = Bus(id="BusHV", phases=phases_hv)
+ bus_lv = Bus(id="BusLV", phases=phases_lv)
PotentialRef(id="PRefHV", element=bus_hv)
PotentialRef(id="PRefLV", element=bus_lv)
- VoltageSource(id="VS", bus=bus_hv, voltages=voltages)
+ VoltageSource(id="VS", bus=bus_hv, voltages=voltage)
transformer = Transformer(id="Transformer", bus1=bus_hv, bus2=bus_lv, parameters=self)
bus_lv.add_short_circuit(*phases_lv)
en = ElectricalNetwork.from_element(bus_hv)
@@ -925,9 +954,11 @@ def _compute_short_circuit_parameters(self, solve_kwargs: JsonDict | None = None
p_primary = transformer.res_powers[0].m.sum().real
# Additional check
- in_ = self._sn / self._ulv if self.type in ("single", "center") else self._sn / (np.sqrt(3) * self._ulv)
+ i_nom = self._sn / self._ulv
+ if self.type == "three-phase":
+ i_nom /= np.sqrt(3) # I = S3ph / (sqrt(3) * U)
i_secondary = abs(transformer.res_currents[1].m[0])
- np.testing.assert_allclose(i_secondary, in_)
+ np.testing.assert_allclose(i_secondary, i_nom)
return p_primary, vsc
@@ -940,15 +971,14 @@ def from_dict(cls, data: JsonDict, *, include_results: bool = True) -> Self:
# TODO should we validate z2 and ym if they exist?
return cls.from_open_and_short_circuit_tests(
id=data["id"],
- type=data["type"], # Type of the transformer
- uhv=data["uhv"], # Phase-to-phase nominal voltages of the high voltages side (V)
- ulv=data["ulv"], # Phase-to-phase nominal voltages of the low voltages side (V)
+ vg=data["vg"], # Vector Group (e.g. Dyn11)
+ uhv=data["uhv"], # Rated phase-to-phase voltage of the HV side (V)
+ ulv=data["ulv"], # Rated no-load phase-to-phase voltage of the LV side (V)
sn=data["sn"], # Nominal power
p0=data["p0"], # Losses during open-circuit test (W)
i0=data["i0"], # Current during open-circuit test (%)
psc=data["psc"], # Losses during short-circuit test (W)
vsc=data["vsc"], # Voltages on LV side during short-circuit test (%)
- max_power=data.get("max_power"), # Maximum power loading (VA)
manufacturer=data.get("manufacturer"), # The manufacturer of the transformer
range=data.get("range"), # The product range of the transformer
efficiency=data.get("efficiency"), # The efficiency class of the transformer
@@ -958,13 +988,12 @@ def from_dict(cls, data: JsonDict, *, include_results: bool = True) -> Self:
ym = complex(*data["ym"])
return cls(
id=data["id"],
- type=data["type"], # Type of the transformer
- uhv=data["uhv"], # Phase-to-phase nominal voltages of the high voltages side (V)
- ulv=data["ulv"], # Phase-to-phase nominal voltages of the low voltages side (V)
+ vg=data["vg"], # Vector Group (e.g. Dyn11)
+ uhv=data["uhv"], # Rated phase-to-phase voltages of the HV side (V)
+ ulv=data["ulv"], # Rated no-load phase-to-phase voltages of the LV side (V)
sn=data["sn"], # Nominal power
z2=z2, # Series impedance (ohm)
ym=ym, # Magnetizing admittance (S)
- max_power=data.get("max_power"), # Maximum power loading (VA)
manufacturer=data.get("manufacturer"), # The manufacturer of the transformer
range=data.get("range"), # The product range of the transformer
efficiency=data.get("efficiency"), # The efficiency class of the transformer
@@ -976,10 +1005,10 @@ def _to_dict(self, include_results: bool) -> JsonDict:
ym = complex(self._ym)
res = {
"id": self.id,
+ "vg": self._vg,
"sn": self._sn,
"uhv": self._uhv,
"ulv": self._ulv,
- "type": self.type,
"z2": [z2.real, z2.imag],
"ym": [ym.real, ym.imag],
}
@@ -991,8 +1020,6 @@ def _to_dict(self, include_results: bool) -> JsonDict:
res["psc"] = self._psc
if self._vsc is not None:
res["vsc"] = self._vsc
- if self._max_power is not None:
- res["max_power"] = self._max_power
if self._manufacturer is not None:
res["manufacturer"] = self._manufacturer
if self._range is not None:
@@ -1016,7 +1043,32 @@ def catalogue_path(cls) -> Path:
@classmethod
def catalogue_data(cls) -> pd.DataFrame:
file = cls.catalogue_path() / "Catalogue.csv"
- return pd.read_csv(file, parse_dates=False)
+ return pd.read_csv(
+ file,
+ parse_dates=False,
+ dtype={
+ "name": str,
+ "manufacturer": str,
+ "range": str,
+ "efficiency": str,
+ "type": str,
+ "oil": str,
+ "sn": int,
+ "vsc": float,
+ "psc": float,
+ "i0": float,
+ "p0": float,
+ "vg": str,
+ "uhv": int,
+ "ulv": int,
+ "du1": float,
+ "du0.8": float,
+ "eff1 100%": float,
+ "eff0.8 100%": float,
+ "eff1 75%": float,
+ "eff0.8 75%": float,
+ },
+ ).fillna({"manufacturer": "", "efficiency": "", "range": "", "oil": ""})
@classmethod
def _get_catalogue(
@@ -1025,7 +1077,7 @@ def _get_catalogue(
manufacturer: str | re.Pattern[str] | None,
range: str | re.Pattern[str] | None,
efficiency: str | re.Pattern[str] | None,
- type: str | re.Pattern[str] | None,
+ vg: str | re.Pattern[str] | None,
sn: float | None,
uhv: float | None,
ulv: float | None,
@@ -1043,7 +1095,7 @@ def _get_catalogue(
(manufacturer, "manufacturer", "manufacturer", "manufacturers"),
(range, "range", "range", "ranges"),
(efficiency, "efficiency", "efficiency", "efficiencies"),
- (type, "type", "type", "types"),
+ (vg, "vg", "vector group", "vector groups"),
):
if pd.isna(value):
continue
@@ -1058,13 +1110,13 @@ def _get_catalogue(
query_msg_list=query_msg_list,
)
catalogue_data = catalogue_data.loc[mask, :]
- query_msg_list.append(f"{display_name}={value!r}")
+ query_msg_list.append(f"{column_name}={value!r}")
# Filter on float
for value, column_name, display_name, display_name_plural, display_unit in (
(sn, "sn", "nominal power", "nominal powers", "kVA"),
- (uhv, "uhv", "primary side voltage", "primary side voltages", "kV"),
- (ulv, "ulv", "secondary side voltage", "secondary side voltages", "kV"),
+ (uhv, "uhv", "high voltage", "high voltages", "kV"),
+ (ulv, "ulv", "low voltage", "low voltages", "kV"),
):
if pd.isna(value):
continue
@@ -1079,7 +1131,7 @@ def _get_catalogue(
query_msg_list=query_msg_list,
)
catalogue_data = catalogue_data.loc[mask, :]
- query_msg_list.append(f"{display_name}={value/1000:.1f} {display_unit}")
+ query_msg_list.append(f"{column_name}={value/1000:.1f} {display_unit}")
return catalogue_data, ", ".join(query_msg_list)
@@ -1088,10 +1140,11 @@ def _get_catalogue(
def from_catalogue(
cls,
name: str | re.Pattern[str] | None = None,
+ *,
manufacturer: str | re.Pattern[str] | None = None,
range: str | re.Pattern[str] | None = None,
efficiency: str | re.Pattern[str] | None = None,
- type: str | re.Pattern[str] | None = None,
+ vg: str | re.Pattern[str] | None = None,
sn: float | Q_[float] | None = None,
uhv: float | Q_[float] | None = None,
ulv: float | Q_[float] | None = None,
@@ -1102,6 +1155,8 @@ def from_catalogue(
Args:
name:
The name of the transformer to get from the catalogue. It can be a regular expression.
+ The name is subject to change when the catalogue is updated. Prefer using the other
+ filters.
manufacturer:
The name of the manufacturer to get. It can be a regular expression.
@@ -1112,17 +1167,17 @@ def from_catalogue(
efficiency:
The efficiency of the transformer get. It can be a regular expression.
- type:
- The type of the transformer to get. It can be a regular expression.
+ vg:
+ The vector group of the transformer to get. It can be a regular expression.
sn:
The nominal power of the transformer to get.
uhv:
- The primary side voltage of the transformer to get.
+ The rated phase-to-phase voltage of the HV side of the transformer to get.
ulv:
- The secondary side voltage of the transformer to get.
+ The rated no-load phase-to-phase voltage of the LV side of the transformer to get.
id:
A unique ID for the created line parameters object (optional). If ``None``
@@ -1139,7 +1194,7 @@ def from_catalogue(
manufacturer=manufacturer,
range=range,
efficiency=efficiency,
- type=type,
+ vg=vg,
sn=sn,
uhv=uhv,
ulv=ulv,
@@ -1161,7 +1216,7 @@ def from_catalogue(
id = catalogue_data.at[idx, "name"]
return cls.from_open_and_short_circuit_tests(
id=id,
- type=catalogue_data.at[idx, "type"],
+ vg=catalogue_data.at[idx, "vg"],
uhv=catalogue_data.at[idx, "uhv"],
ulv=catalogue_data.at[idx, "ulv"],
sn=catalogue_data.at[idx, "sn"],
@@ -1179,10 +1234,11 @@ def from_catalogue(
def get_catalogue(
cls,
name: str | re.Pattern[str] | None = None,
+ *,
manufacturer: str | re.Pattern[str] | None = None,
range: str | re.Pattern[str] | None = None,
efficiency: str | re.Pattern[str] | None = None,
- type: str | re.Pattern[str] | None = None,
+ vg: str | re.Pattern[str] | None = None,
sn: float | Q_[float] | None = None,
uhv: float | Q_[float] | None = None,
ulv: float | Q_[float] | None = None,
@@ -1205,17 +1261,17 @@ def get_catalogue(
efficiency:
An optional efficiency to filter the output. It can be a regular expression.
- type:
- An optional type of the transformer. It can be a regular expression.
+ vg:
+ An optional vector group of the transformer. It can be a regular expression.
sn:
An optional nominal power of the transformer to filter the output.
uhv:
- An optional primary side voltage to filter the output.
+ An optional rated high voltage to filter the output.
ulv:
- An optional secondary side voltage to filter the output.
+ An optional rated no-load low voltage to filter the output.
Returns:
The catalogue data as a dataframe.
@@ -1225,7 +1281,7 @@ def get_catalogue(
manufacturer=manufacturer,
range=range,
efficiency=efficiency,
- type=type,
+ vg=vg,
sn=sn,
uhv=uhv,
ulv=ulv,
@@ -1242,10 +1298,12 @@ def get_catalogue(
"manufacturer": "Manufacturer",
"range": "Product range",
"efficiency": "Efficiency",
- "type": "Type",
+ "vg": "Vector group",
"sn": "Nominal power (kVA)",
"uhv": "High voltage (kV)",
"ulv": "Low voltage (kV)",
+ "type": "Type",
+ "oil": "Oil",
# # If we ever want to display these columns
# "i0": "No-load current (%)",
# "p0": "No-load losses (W)",
@@ -1260,22 +1318,31 @@ def get_catalogue(
# Utils
#
@classmethod
- def extract_windings(cls, string: str) -> tuple[str, str, int]:
- """Extract the windings and phase displacement from a given string
+ def extract_windings(cls, vg: str) -> tuple[str, str, int]:
+ """Extract the windings and phase displacement from a given vector group
Args:
- string:
- The string to parse.
+ vg:
+ The vector group of the transformer.
+
+ For three-phase transformers, ``Dyn11`` denotes a delta-wye connection with -30° phase
+ displacement. Allowed windings are ``D`` for delta, ``Y`` for wye, ``Z`` for zigzag.
+
+ For single-phase transformers, ``Ii0`` denotes a normal in-phase connection and
+ ``Ii6`` denotes an inverted connection.
+
+ For center-tapped transformers, ``Iii0`` denotes a normal in-phase connection and
+ ``Iii6`` denotes an inverted connection.
Returns:
- The first winding, the second winding, and the phase displacement
+ The first winding, the second winding, and the phase displacement.
"""
- match = cls._EXTRACT_WINDINGS_RE.fullmatch(string=string)
- if match:
+ match = re.fullmatch(r"^(?P(D|Yn?|Zn?|I))(?P(d|yn?|zn?|i|ii))(?P(0|1|5|6|11))$", vg, flags=re.I)
+ if match and vg.capitalize() in cls.allowed_vector_groups:
groups = match.groupdict()
- winding1, winding2, phase_displacement = groups["w1"], groups["w2"], groups["p"]
- return winding1.upper(), winding2.lower(), int(phase_displacement)
+ winding1, winding2, phase_displacement = groups["w1"].upper(), groups["w2"].lower(), int(groups["p"])
+ return winding1, winding2, phase_displacement
else:
- msg = f"Transformer windings cannot be extracted from the string {string!r}."
+ msg = f"Invalid vector group: {vg!r}. Expected one of {sorted(cls.allowed_vector_groups)}."
logger.error(msg)
- raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_TRANSFORMER_WINDINGS)
+ raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_TRANSFORMER_VECTOR_GROUP)
diff --git a/roseau/load_flow/models/transformers/transformers.py b/roseau/load_flow/models/transformers/transformers.py
index 8865e076..99465b13 100644
--- a/roseau/load_flow/models/transformers/transformers.py
+++ b/roseau/load_flow/models/transformers/transformers.py
@@ -9,7 +9,12 @@
from roseau.load_flow.models.transformers.parameters import TransformerParameters
from roseau.load_flow.typing import Id, JsonDict
from roseau.load_flow.units import Q_, ureg_wraps
-from roseau.load_flow_engine.cy_engine import CyCenterTransformer, CySingleTransformer, CyThreePhaseTransformer
+from roseau.load_flow_engine.cy_engine import (
+ CyCenterTransformer,
+ CySingleTransformer,
+ CyThreePhaseTransformer,
+ CyTransformer,
+)
logger = logging.getLogger(__name__)
@@ -42,6 +47,7 @@ def __init__(
tap: float = 1.0,
phases1: str | None = None,
phases2: str | None = None,
+ max_loading: float | Q_[float] = 1,
geometry: BaseGeometry | None = None,
) -> None:
"""Transformer constructor.
@@ -72,14 +78,20 @@ def __init__(
phases2:
The phases of the second extremity of the transformer. See ``phases1``.
+ max_loading:
+ The maximum loading of the transformer (unitless). It is used with the `sn` of the
+ :class:`TransformerParameters` to compute the :meth:`~roseau.load_flow.Transformer.max_power`,
+ :meth:`~roseau.load_flow.Transformer.res_loading` and
+ :meth:`~roseau.load_flow.Transformer.res_violated` of the transformer.
+
geometry:
The geometry of the transformer.
"""
- if parameters.type == "single":
+ if parameters.type == "single-phase":
phases1, phases2 = self._compute_phases_single(
id=id, bus1=bus1, bus2=bus2, phases1=phases1, phases2=phases2
)
- elif parameters.type == "center":
+ elif parameters.type == "center-tapped":
phases1, phases2 = self._compute_phases_center(
id=id, bus1=bus1, bus2=bus2, phases1=phases1, phases2=phases2
)
@@ -91,43 +103,34 @@ def __init__(
super().__init__(id=id, bus1=bus1, bus2=bus2, phases1=phases1, phases2=phases2, geometry=geometry)
self.tap = tap
self._parameters = parameters
+ self.max_loading = max_loading
z2, ym, k, orientation = parameters._z2, parameters._ym, parameters._k, parameters._orientation
- if parameters.type == "single":
- self._cy_element = CySingleTransformer(z2=z2, ym=ym, k=k * tap)
- elif parameters.type == "center":
- self._cy_element = CyCenterTransformer(z2=z2, ym=ym, k=k * tap)
+ self._cy_element: CyTransformer
+ if parameters.type == "single-phase":
+ self._cy_element = CySingleTransformer(z2=z2, ym=ym, k=k * orientation * tap)
+ elif parameters.type == "center-tapped":
+ self._cy_element = CyCenterTransformer(z2=z2, ym=ym, k=k * orientation * tap)
else:
- if "Y" in parameters.winding1 and "y" in parameters.winding2:
- self._cy_element = CyThreePhaseTransformer(
- n1=4, n2=4, prim="Y", sec="y", z2=z2, ym=ym, k=k * tap, orientation=orientation
- )
- elif "D" in parameters.winding1 and "y" in parameters.winding2:
- self._cy_element = CyThreePhaseTransformer(
- n1=3, n2=4, prim="D", sec="y", z2=z2, ym=ym, k=k * tap, orientation=orientation
- )
- elif "D" in parameters.winding1 and "d" in parameters.winding2:
- self._cy_element = CyThreePhaseTransformer(
- n1=3, n2=3, prim="D", sec="d", z2=z2, ym=ym, k=k * tap, orientation=orientation
- )
- elif "Y" in parameters.winding1 and "d" in parameters.winding2:
- self._cy_element = CyThreePhaseTransformer(
- n1=4, n2=3, prim="Y", sec="d", z2=z2, ym=ym, k=k * tap, orientation=orientation
- )
- elif "Y" in parameters.winding1 and "z" in parameters.winding2:
- self._cy_element = CyThreePhaseTransformer(
- n1=4, n2=4, prim="Y", sec="z", z2=z2, ym=ym, k=k * tap, orientation=orientation
- )
- elif "D" in parameters.winding1 and "z" in parameters.winding2:
- self._cy_element = CyThreePhaseTransformer(
- n1=3, n2=4, prim="D", sec="z", z2=z2, ym=ym, k=k * tap, orientation=orientation
- )
- else:
- msg = f"Transformer {parameters.type} is not implemented yet..."
- logger.error(msg)
- raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_TRANSFORMER_WINDINGS)
+ self._cy_element = CyThreePhaseTransformer(
+ n1=parameters._n1,
+ n2=parameters._n2,
+ prim=parameters.winding1[0],
+ sec=parameters.winding2[0],
+ z2=z2,
+ ym=ym,
+ k=k * tap,
+ orientation=orientation,
+ )
self._cy_connect()
+ def __repr__(self) -> str:
+ return (
+ f"<{type(self).__name__}: id={self.id!r}, bus1={self.bus1.id!r}, bus2={self.bus2.id!r}, "
+ f"phases1={self.phases1!r}, phases2={self.phases2!r}, tap={self.tap:f}, "
+ f"max_loading={self._max_loading:f}>"
+ )
+
@property
def tap(self) -> float:
"""The tap of the transformer, for example 1.02."""
@@ -152,24 +155,50 @@ def parameters(self) -> TransformerParameters:
@parameters.setter
def parameters(self, value: TransformerParameters) -> None:
- type1 = self._parameters.type
- type2 = value.type
- if type1 != type2:
- msg = f"The updated type changed for transformer {self.id!r}: {type1} to {type2}."
+ vg1 = self._parameters.vg
+ vg2 = value.vg
+ if vg1 != vg2:
+ msg = (
+ f"Cannot update the parameters of transformer {self.id!r} to a different vector "
+ f"group: old={vg1!r}, new={vg2!r}."
+ )
logger.error(msg)
raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_TRANSFORMER_TYPE)
self._parameters = value
self._invalidate_network_results()
if self._cy_element is not None:
z2, ym, k = value._z2, value._ym, value._k
+ if value.type in ("single-phase", "center-tapped"):
+ k *= value._orientation
self._cy_element.update_transformer_parameters(z2, ym, k * self.tap)
+ @property
+ @ureg_wraps("", (None,))
+ def max_loading(self) -> Q_[float]:
+ """The maximum loading of the transformer (unitless)"""
+ return self._max_loading
+
+ @max_loading.setter
+ @ureg_wraps(None, (None, ""))
+ def max_loading(self, value: float | Q_[float]) -> None:
+ if value <= 0:
+ msg = f"Maximum loading must be positive: {value} was provided."
+ logger.error(msg)
+ raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_MAX_LOADING_VALUE)
+ self._max_loading: float = value
+
+ @property
+ def sn(self) -> Q_[float]:
+ """The nominal power of the transformer (VA)."""
+ # Do not add a setter. The user must know that if they change the nominal power, it changes
+ # for all transformers that share the parameters. It is better to set it on the parameters.
+ return self._parameters.sn
+
@property
def max_power(self) -> Q_[float] | None:
"""The maximum power loading of the transformer (in VA)."""
- # Do not add a setter. The user must know that if they change the max_power, it changes
- # for all transformers that share the parameters. It is better to set it on the parameters.
- return self.parameters.max_power
+ sn = self.parameters._sn
+ return None if sn is None else Q_(sn * self._max_loading, "VA")
def _compute_phases_three(
self,
@@ -292,17 +321,18 @@ def res_power_losses(self) -> Q_[complex]:
return sum(powers1) + sum(powers2)
@property
- def res_violated(self) -> bool | None:
- """Whether the transformer power exceeds the maximum power (loading > 100%).
-
- Returns ``None`` if the maximum power is not set.
- """
- s_max = self.parameters._max_power
- if s_max is None:
- return None
+ @ureg_wraps("", (None,))
+ def res_loading(self) -> Q_[float]:
+ """Get the loading of the transformer (unitless)."""
+ sn = self._parameters._sn
powers1, powers2 = self._res_powers_getter(warning=True)
+ return max(abs(powers1.sum()), abs(powers2.sum())) / sn
+
+ @property
+ def res_violated(self) -> bool:
+ """Whether the transformer power loading exceeds its maximal loading."""
# True if either the primary or secondary is overloaded
- return bool((abs(powers1.sum()) > s_max) or (abs(powers2.sum()) > s_max))
+ return bool(self.res_loading.m > self._max_loading)
#
# Json Mixin interface
@@ -311,6 +341,7 @@ def _to_dict(self, include_results: bool) -> JsonDict:
res = super()._to_dict(include_results=include_results)
res["tap"] = self.tap
res["params_id"] = self.parameters.id
+ res["max_loading"] = self._max_loading
return res
diff --git a/roseau/load_flow/network.py b/roseau/load_flow/network.py
index 1f391071..969f2cc8 100644
--- a/roseau/load_flow/network.py
+++ b/roseau/load_flow/network.py
@@ -40,6 +40,7 @@
)
from roseau.load_flow.typing import Id, JsonDict, MapOrSeq, Solver, StrPath
from roseau.load_flow.utils import CatalogueMixin, JsonMixin, _optional_deps
+from roseau.load_flow.utils._exceptions import find_stack_level
from roseau.load_flow.utils.types import _DTYPES, LoadTypeDtype, VoltagePhaseDtype
from roseau.load_flow_engine.cy_engine import CyElectricalNetwork
@@ -170,6 +171,8 @@ def __init__(
)
self._elements: list[Element] = []
+ self._has_loop = False
+ self._has_floating_neutral = False
self._check_validity(constructed=False)
self._create_network()
self._valid = True
@@ -286,13 +289,14 @@ def buses_frame(self) -> gpd.GeoDataFrame:
"""The :attr:`buses` of the network as a geo dataframe."""
data = []
for bus in self.buses.values():
- min_voltage = bus.min_voltage.magnitude if bus.min_voltage is not None else float("nan")
- max_voltage = bus.max_voltage.magnitude if bus.max_voltage is not None else float("nan")
- data.append((bus.id, bus.phases, min_voltage, max_voltage, bus.geometry))
+ nominal_voltage = bus.nominal_voltage.magnitude if bus.nominal_voltage is not None else (float("nan"))
+ min_voltage_level = bus.min_voltage_level.magnitude if bus.min_voltage_level is not None else float("nan")
+ max_voltage_level = bus.max_voltage_level.magnitude if bus.max_voltage_level is not None else float("nan")
+ data.append((bus.id, bus.phases, nominal_voltage, min_voltage_level, max_voltage_level, bus.geometry))
return gpd.GeoDataFrame(
data=pd.DataFrame.from_records(
data=data,
- columns=["id", "phases", "min_voltage", "max_voltage", "geometry"],
+ columns=["id", "phases", "nominal_voltage", "min_voltage_level", "max_voltage_level", "geometry"],
index="id",
),
geometry="geometry",
@@ -304,7 +308,6 @@ def lines_frame(self) -> gpd.GeoDataFrame:
"""The :attr:`lines` of the network as a geo dataframe."""
data = []
for line in self.lines.values():
- max_current = line.max_current.magnitude if line.max_current is not None else float("nan")
data.append(
(
line.id,
@@ -312,15 +315,15 @@ def lines_frame(self) -> gpd.GeoDataFrame:
line.bus1.id,
line.bus2.id,
line.parameters.id,
- line.length.m,
- max_current,
+ line._length,
+ line._max_loading,
line.geometry,
)
)
return gpd.GeoDataFrame(
data=pd.DataFrame.from_records(
data=data,
- columns=["id", "phases", "bus1_id", "bus2_id", "parameters_id", "length", "max_current", "geometry"],
+ columns=["id", "phases", "bus1_id", "bus2_id", "parameters_id", "length", "max_loading", "geometry"],
index="id",
),
geometry="geometry",
@@ -332,7 +335,10 @@ def transformers_frame(self) -> gpd.GeoDataFrame:
"""The :attr:`transformers` of the network as a geo dataframe."""
data = []
for transformer in self.transformers.values():
- max_power = transformer.max_power.magnitude if transformer.max_power is not None else float("nan")
+ if (max_loading := transformer.max_loading) is not None:
+ max_loading = max_loading.magnitude
+ else:
+ max_loading = float("nan")
data.append(
(
transformer.id,
@@ -341,14 +347,14 @@ def transformers_frame(self) -> gpd.GeoDataFrame:
transformer.bus1.id,
transformer.bus2.id,
transformer.parameters.id,
- max_power,
+ max_loading,
transformer.geometry,
)
)
return gpd.GeoDataFrame(
data=pd.DataFrame.from_records(
data=data,
- columns=["id", "phases1", "phases2", "bus1_id", "bus2_id", "parameters_id", "max_power", "geometry"],
+ columns=["id", "phases1", "phases2", "bus1_id", "bus2_id", "parameters_id", "max_loading", "geometry"],
index="id",
),
geometry="geometry",
@@ -430,7 +436,7 @@ def short_circuits_frame(self) -> pd.DataFrame:
#
@property
def buses_clusters(self) -> list[set[Id]]:
- """Sets of galvanically connected buses, i.e buses connected by lines or a switches.
+ """Sets of galvanically connected buses, i.e. buses connected by lines or a switches.
This can be useful to isolate parts of the network for localized analysis. For example, to
study a LV subnetwork of a MV feeder.
@@ -464,7 +470,8 @@ def to_graph(self) -> "Graph":
for bus in self.buses.values():
graph.add_node(bus.id, geom=bus.geometry)
for line in self.lines.values():
- max_current = line.max_current.magnitude if line.max_current is not None else None
+ if (ampacities := line.ampacities) is not None:
+ ampacities = ampacities.magnitude.tolist()
graph.add_edge(
line.bus1.id,
line.bus2.id,
@@ -472,11 +479,16 @@ def to_graph(self) -> "Graph":
type="line",
phases=line.phases,
parameters_id=line.parameters.id,
- max_current=max_current,
+ length=line._length,
+ max_loading=line._max_loading,
+ ampacities=ampacities,
geom=line.geometry,
)
for transformer in self.transformers.values():
- max_power = transformer.max_power.magnitude if transformer.max_power is not None else None
+ if (max_loading := transformer.max_loading) is not None:
+ max_loading = max_loading.magnitude
+ if (sn := transformer.sn) is not None:
+ sn = sn.magnitude
graph.add_edge(
transformer.bus1.id,
transformer.bus2.id,
@@ -485,7 +497,8 @@ def to_graph(self) -> "Graph":
phases1=transformer.phases1,
phases2=transformer.phases2,
parameters_id=transformer.parameters.id,
- max_power=max_power,
+ max_loading=max_loading,
+ sn=sn,
geom=transformer.geometry,
)
for switch in self.switches.values():
@@ -578,16 +591,7 @@ def solve_load_flow(
self._no_results = False
# Lazily update the results of the elements
- for element in chain(
- self.buses.values(),
- self.lines.values(),
- self.transformers.values(),
- self.switches.values(),
- self.loads.values(),
- self.sources.values(),
- self.grounds.values(),
- self.potential_refs.values(),
- ):
+ for element in self._elements:
element._fetch_results = True
element._no_results = False
@@ -602,8 +606,7 @@ def _handle_error(self, e: RuntimeError) -> NoReturn:
msg = f"The license cannot be validated. The detailed error message is {msg[2:]!r}"
logger.error(msg)
raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.LICENSE_ERROR) from e
- else:
- assert msg.startswith("1 ")
+ elif msg.startswith("1 "):
msg = msg[2:]
zero_elements_index, inf_elements_index = self._solver._cy_solver.analyse_jacobian()
if zero_elements_index:
@@ -622,6 +625,10 @@ def _handle_error(self, e: RuntimeError) -> NoReturn:
)
logger.error(msg)
raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_JACOBIAN) from e
+ else:
+ assert msg.startswith("2 ")
+ msg = msg[2:]
+ raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.NO_BACKWARD_FORWARD) from e
#
# Properties to access the load flow results as dataframes
@@ -640,7 +647,7 @@ def _check_valid_results(self) -> None:
"ensure the validity of results."
),
category=UserWarning,
- stacklevel=2,
+ stacklevel=find_stack_level(),
)
@property
@@ -678,41 +685,61 @@ def res_buses_voltages(self) -> pd.DataFrame:
and the following columns:
- `voltage`: The complex voltage of the bus (in Volts) for the given phase.
- - `min_voltage`: The minimum voltage of the bus (in Volts).
- - `max_voltage`: The maximum voltage of the bus (in Volts).
+ - `violated`: `True` if a voltage limit is not respected.
+ - `voltage_level`: The voltage level of the bus.
+ - `min_voltage_level`: The minimal voltage level of the bus.
+ - `max_voltage_level`: The maximal voltage level of the bus.
+ - `nominal_voltage`: The nominal voltage of the bus (in Volts).
"""
self._check_valid_results()
voltages_dict = {
"bus_id": [],
"phase": [],
"voltage": [],
- "min_voltage": [],
- "max_voltage": [],
"violated": [],
+ "voltage_level": [],
+ # Non results
+ "min_voltage_level": [],
+ "max_voltage_level": [],
+ "nominal_voltage": [],
}
dtypes = {c: _DTYPES[c] for c in voltages_dict} | {"phase": VoltagePhaseDtype}
+ sqrt_3 = float(np.sqrt(3))
for bus_id, bus in self.buses.items():
- min_voltage = bus._min_voltage
- max_voltage = bus._max_voltage
- voltage_limits_set = False
-
- if min_voltage is None:
- min_voltage = float("nan")
- else:
- voltage_limits_set = True
- if max_voltage is None:
- max_voltage = float("nan")
- else:
- voltage_limits_set = True
+ nominal_voltage = bus._nominal_voltage
+ min_voltage_level = bus._min_voltage_level
+ max_voltage_level = bus._max_voltage_level
+ voltage_limits_set = (
+ min_voltage_level is not None or max_voltage_level is not None
+ ) and nominal_voltage is not None
+
+ if nominal_voltage is None:
+ nominal_voltage = float("nan")
+ if min_voltage_level is None:
+ min_voltage_level = float("nan")
+ if max_voltage_level is None:
+ max_voltage_level = float("nan")
for voltage, phase in zip(bus._res_voltages_getter(warning=False), bus.voltage_phases, strict=True):
voltage_abs = abs(voltage)
- violated = (voltage_abs < min_voltage or voltage_abs > max_voltage) if voltage_limits_set else None
+ if voltage_limits_set:
+ if "n" in phase:
+ voltage_level = sqrt_3 * voltage_abs / nominal_voltage
+ else:
+ voltage_level = voltage_abs / nominal_voltage
+ violated = voltage_level < min_voltage_level or voltage_level > max_voltage_level
+ else:
+ violated = None
+ voltage_level = float("nan")
voltages_dict["bus_id"].append(bus_id)
voltages_dict["phase"].append(phase)
voltages_dict["voltage"].append(voltage)
- voltages_dict["min_voltage"].append(min_voltage)
- voltages_dict["max_voltage"].append(max_voltage)
voltages_dict["violated"].append(violated)
+ voltages_dict["voltage_level"].append(voltage_level)
+ # Non results
+ voltages_dict["min_voltage_level"].append(min_voltage_level)
+ voltages_dict["max_voltage_level"].append(max_voltage_level)
+ voltages_dict["nominal_voltage"].append(nominal_voltage)
+
return pd.DataFrame(voltages_dict).astype(dtypes).set_index(["bus_id", "phase"])
@property
@@ -738,6 +765,10 @@ def res_lines(self) -> pd.DataFrame:
phase due to the series and mutual impedances.
- `series_current`: The complex current in the series impedance of the line (in Amps)
for the given phase.
+ - `violated`: True, if a current constraint is not respected for the given phase.
+ - `loading`: The loading of the line (unitless) for the given phase.
+ - `max_loading`: The maximal loading of the line (unitless) for the given phase.
+ - `ampacity`: The ampacity of the line parameter (in Amps) for the given phase.
Additional information can be easily computed from this dataframe. For example:
@@ -762,8 +793,11 @@ def res_lines(self) -> pd.DataFrame:
"potential2": [],
"series_losses": [],
"series_current": [],
- "max_current": [],
"violated": [],
+ "loading": [],
+ # Non results
+ "max_loading": [],
+ "ampacity": [],
}
dtypes = {c: _DTYPES[c] for c in res_dict}
for line in self.lines.values():
@@ -773,20 +807,36 @@ def res_lines(self) -> pd.DataFrame:
powers1 = potentials1 * currents1.conj()
powers2 = potentials2 * currents2.conj()
series_losses = du_line * series_currents.conj()
- i_max = line.parameters._max_current
- for i1, i2, s1, s2, v1, v2, s_series, i_series, phase in zip(
- currents1,
- currents2,
- powers1,
- powers2,
- potentials1,
- potentials2,
- series_losses,
- series_currents,
- line.phases,
- strict=True,
+ ampacities = line.parameters._ampacities
+ max_loading = line._max_loading
+ if ampacities is None:
+ loading_array = None
+ violated_array = None
+ else:
+ loading_array = np.maximum(abs(currents1), abs(currents2)) / ampacities
+ violated_array = loading_array > max_loading
+ for k, (i1, i2, s1, s2, v1, v2, s_series, i_series, phase) in enumerate(
+ zip(
+ currents1,
+ currents2,
+ powers1,
+ powers2,
+ potentials1,
+ potentials2,
+ series_losses,
+ series_currents,
+ line.phases,
+ strict=True,
+ )
):
- violated = None if i_max is None else (abs(i1) > i_max or abs(i2) > i_max)
+ if ampacities is None:
+ loading = None
+ violated = None
+ ampacity = None
+ else:
+ loading = loading_array[k]
+ violated = violated_array[k]
+ ampacity = ampacities[k]
res_dict["line_id"].append(line.id)
res_dict["phase"].append(phase)
res_dict["current1"].append(i1)
@@ -797,8 +847,12 @@ def res_lines(self) -> pd.DataFrame:
res_dict["potential2"].append(v2)
res_dict["series_losses"].append(s_series)
res_dict["series_current"].append(i_series)
- res_dict["max_current"].append(i_max)
res_dict["violated"].append(violated)
+ res_dict["loading"].append(loading)
+ # Non results
+ res_dict["max_loading"].append(max_loading)
+ res_dict["ampacity"].append(ampacity)
+
return pd.DataFrame(res_dict).astype(dtypes).set_index(["line_id", "phase"])
@property
@@ -820,7 +874,7 @@ def res_transformers(self) -> pd.DataFrame:
second bus.
- `potential1`: The complex potential of the first bus (in Volts) for the given phase.
- `potential2`: The complex potential of the second bus (in Volts) for the given phase.
- - `max_power`: The maximum power loading (in VoltAmps) of the transformer.
+ - `max_loading`: The maximal loading (unitless) of the transformer.
Note that values for missing phases are set to ``nan``. For example, a "Dyn" transformer
has the phases "abc" on the primary side and "abcn" on the secondary side, so the primary
@@ -836,8 +890,11 @@ def res_transformers(self) -> pd.DataFrame:
"power2": [],
"potential1": [],
"potential2": [],
- "max_power": [],
"violated": [],
+ "loading": [],
+ # Non results
+ "max_loading": [],
+ "sn": [],
}
dtypes = {c: _DTYPES[c] for c in res_dict}
for transformer in self.transformers.values():
@@ -845,8 +902,10 @@ def res_transformers(self) -> pd.DataFrame:
potentials1, potentials2 = transformer._res_potentials_getter(warning=False)
powers1 = potentials1 * currents1.conj()
powers2 = potentials2 * currents2.conj()
- s_max = transformer.parameters._max_power
- violated = (abs(powers1.sum()) > s_max or abs(powers2.sum()) > s_max) if s_max is not None else None
+ sn = transformer.parameters._sn
+ max_loading = transformer._max_loading
+ loading = max(abs(powers1.sum()), abs(powers2.sum())) / sn
+ violated = loading > max_loading
for phase in transformer._all_phases:
if phase in transformer.phases1:
idx1 = transformer.phases1.index(phase)
@@ -866,8 +925,11 @@ def res_transformers(self) -> pd.DataFrame:
res_dict["power2"].append(s2)
res_dict["potential1"].append(v1)
res_dict["potential2"].append(v2)
- res_dict["max_power"].append(s_max)
res_dict["violated"].append(violated)
+ res_dict["loading"].append(loading)
+ # Non results
+ res_dict["max_loading"].append(max_loading)
+ res_dict["sn"].append(sn)
return pd.DataFrame(res_dict).astype(dtypes).set_index(["transformer_id", "phase"])
@property
@@ -1110,7 +1172,7 @@ def _connect_element(self, element: Element) -> None:
logger.error(msg)
raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.BAD_ELEMENT_OBJECT)
if element.id in container and container[element.id] is not element:
- element._disconnect() # Don't leave it lingering in other elemnets _connected_elements
+ element._disconnect() # Don't leave it lingering in other elements _connected_elements
msg = f"A {element_type} of ID {element.id!r} is already connected to the network."
if can_disconnect:
msg += f" Disconnect the old {element_type} first if you meant to replace it."
@@ -1152,33 +1214,17 @@ def _disconnect_element(self, element: Element) -> None:
def _create_network(self) -> None:
"""Create the Cython and C++ electrical network of all the passed elements."""
self._valid = True
- cy_elements = []
- self._elements = []
- for bus in self.buses.values():
- cy_elements.append(bus._cy_element)
- self._elements.append(bus)
- for line in self.lines.values():
- cy_elements.append(line._cy_element)
- self._elements.append(line)
- for transformer in self.transformers.values():
- cy_elements.append(transformer._cy_element)
- self._elements.append(transformer)
- for switch in self.switches.values():
- cy_elements.append(switch._cy_element)
- self._elements.append(switch)
+ self._has_floating_neutral = False
for load in self.loads.values():
- cy_elements.append(load._cy_element)
- self._elements.append(load)
- for ground in self.grounds.values():
- cy_elements.append(ground._cy_element)
- self._elements.append(ground)
- for p_ref in self.potential_refs.values():
- cy_elements.append(p_ref._cy_element)
- self._elements.append(p_ref)
+ if load.has_floating_neutral:
+ self._has_floating_neutral = True
for source in self.sources.values():
- cy_elements.append(source._cy_element)
- self._elements.append(source)
+ if source.has_floating_neutral:
+ self._has_floating_neutral = True
self._propagate_potentials()
+ cy_elements = []
+ for element in self._elements:
+ cy_elements.append(element._cy_element)
self._cy_electrical_network = CyElectricalNetwork(elements=np.array(cy_elements), nb_elements=len(cy_elements))
def _check_validity(self, constructed: bool) -> None:
@@ -1253,34 +1299,62 @@ def _propagate_potentials(self) -> None:
if not bus._initialized:
all_phases |= set(bus.phases)
- starting_potentials, starting_bus = self._get_potentials(all_phases)
- elements = [(starting_bus, starting_potentials)]
- visited = set()
+ starting_potentials, starting_source = self._get_potentials(all_phases)
+ elements = [(starting_source, starting_potentials, None)]
+ self._elements = []
+ self._has_loop = False
+ visited = {starting_source}
while elements:
- element, potentials = elements.pop(-1)
- visited.add(element)
+ element, potentials, parent = elements.pop(-1)
+ self._elements.append(element)
if isinstance(element, Bus) and not element._initialized:
element.potentials = np.array([potentials[p] for p in element.phases], dtype=np.complex128)
element._initialized_by_the_user = False # only used for serialization
- for e in element._connected_elements:
- if e not in visited and isinstance(e, (AbstractBranch, Bus)):
- if isinstance(element, Transformer):
- k = element.parameters._ulv / element.parameters._uhv
- phase_displacement = element.parameters.phase_displacement
- if phase_displacement is None:
- phase_displacement = 0
- new_potentials = potentials.copy()
- for key, p in new_potentials.items():
- new_potentials[key] = p * k * np.exp(phase_displacement * -1j * np.pi / 6.0)
- elements.append((e, new_potentials))
- else:
- elements.append((e, potentials))
-
- if len(visited) < len(self.buses) + len(self.lines) + len(self.transformers) + len(self.switches):
+ if not isinstance(element, Ground): # Do not go from ground to buses/branches
+ for e in element._connected_elements:
+ if e not in visited:
+ if isinstance(element, Transformer):
+ k = element.parameters._ulv / element.parameters._uhv
+ phase_displacement = element.parameters.phase_displacement
+ if phase_displacement is None:
+ phase_displacement = 0
+ new_potentials = potentials.copy()
+ for key, p in new_potentials.items():
+ new_potentials[key] = p * k * np.exp(phase_displacement * -1j * np.pi / 6.0)
+ elements.append((e, new_potentials, element))
+ visited.add(e)
+ else:
+ elements.append((e, potentials, element))
+ visited.add(e)
+ elif parent != e and not isinstance(e, Ground):
+ self._has_loop = True
+ else:
+ for e in element._connected_elements:
+ if e not in visited and isinstance(e, PotentialRef):
+ elements.append((e, potentials, element))
+ visited.add(e)
+
+ if len(visited) < (
+ len(self.buses)
+ + len(self.lines)
+ + len(self.transformers)
+ + len(self.switches)
+ + len(self.grounds)
+ + len(self.sources)
+ + len(self.potential_refs)
+ + len(self.loads)
+ ):
unconnected_elements = [
element
for element in chain(
- self.buses.values(), self.lines.values(), self.transformers.values(), self.switches.values()
+ self.buses.values(),
+ self.lines.values(),
+ self.transformers.values(),
+ self.switches.values(),
+ self.sources.values(),
+ self.loads.values(),
+ self.grounds.values(),
+ self.potential_refs.values(),
)
if element not in visited
]
@@ -1291,7 +1365,7 @@ def _propagate_potentials(self) -> None:
logger.error(msg)
raise RoseauLoadFlowException(msg=msg, code=RoseauLoadFlowExceptionCode.POORLY_CONNECTED_ELEMENT)
- def _get_potentials(self, all_phases: set[str]) -> tuple[dict[str, complex], Bus]:
+ def _get_potentials(self, all_phases: set[str]) -> tuple[dict[str, complex], VoltageSource]:
"""Compute initial potentials from the voltages sources of the network, get also the starting source"""
starting_source = None
potentials = {"n": 0.0}
@@ -1328,7 +1402,7 @@ def _get_potentials(self, all_phases: set[str]) -> tuple[dict[str, complex], Bus
potentials["c"] = v * np.exp(2j * np.pi / 3)
potentials["n"] = 0.0
- return potentials, starting_source.bus
+ return potentials, starting_source
@staticmethod
def _check_ref(elements: Iterable[Element]) -> None:
diff --git a/roseau/load_flow/plotting.py b/roseau/load_flow/plotting.py
index 7e62c651..8df052d2 100644
--- a/roseau/load_flow/plotting.py
+++ b/roseau/load_flow/plotting.py
@@ -276,7 +276,7 @@ def internal_highlight_function(feature):
),
).add_to(m)
folium.GeoJson(
- buses_gdf,
+ data=buses_gdf,
name="buses",
marker=folium.CircleMarker(),
style_function=internal_style_function,
diff --git a/roseau/load_flow/tests/data/networks/all_element_network.json b/roseau/load_flow/tests/data/networks/all_element_network.json
index cf80e5a6..8b694296 100644
--- a/roseau/load_flow/tests/data/networks/all_element_network.json
+++ b/roseau/load_flow/tests/data/networks/all_element_network.json
@@ -1,5 +1,5 @@
{
- "version": 2,
+ "version": 3,
"is_multiphase": true,
"grounds": [
{
@@ -92,6 +92,7 @@
"bus2": "bus1",
"length": 1.5,
"params_id": "lp0",
+ "max_loading": 1,
"ground": "ground",
"results": {
"currents1": [
@@ -113,6 +114,7 @@
"bus2": "bus4",
"length": 0.1,
"params_id": "lp1",
+ "max_loading": 1,
"results": {
"currents1": [
[203.0652123688027, 96.09147480241117],
@@ -150,7 +152,8 @@
]
},
"tap": 1.0,
- "params_id": "tp0"
+ "params_id": "tp0",
+ "max_loading": 1
}
],
"switches": [
@@ -579,11 +582,10 @@
[0.0, 0.0, 3.40441e-5]
]
],
- "max_current": 323,
+ "ampacities": [323, 323, 323],
"line_type": "UNDERGROUND",
- "conductor_type": "AM",
- "insulator_type": "UNKNOWN",
- "section": 148
+ "materials": ["AM", "AM", "AM"],
+ "sections": [148.0, 148.0, 148.0]
},
{
"id": "lp1",
@@ -601,11 +603,10 @@
[0.0, 0.0, 0.0, 0.1066400577]
]
],
- "max_current": 195,
+ "ampacities": [195, 195, 195, 195],
"line_type": "TWISTED",
- "conductor_type": "AL",
- "insulator_type": "UNKNOWN",
- "section": 75.0
+ "materials": ["AL", "AL", "AL", "AL"],
+ "sections": [75.0, 75.0, 75.0, 75.0]
}
],
"transformers_params": [
@@ -614,7 +615,7 @@
"sn": 100000,
"uhv": 20000,
"ulv": 400,
- "type": "Dyn11",
+ "vg": "Dyn11",
"z2": [0.02, 0.060794736614282655],
"ym": [1.2083333333333332e-7, -3.987611022487859e-7],
"i0": 0.005,
diff --git a/roseau/load_flow/tests/data/networks/single_phase_network.json b/roseau/load_flow/tests/data/networks/single_phase_network.json
index 49928bf7..7b52d3b2 100644
--- a/roseau/load_flow/tests/data/networks/single_phase_network.json
+++ b/roseau/load_flow/tests/data/networks/single_phase_network.json
@@ -1,5 +1,5 @@
{
- "version": 2,
+ "version": 3,
"is_multiphase": true,
"grounds": [
{
@@ -62,6 +62,7 @@
"bus2": "bus1",
"length": 1.0,
"params_id": "test",
+ "max_loading": 1,
"geometry": {
"type": "LineString",
"coordinates": [
diff --git a/roseau/load_flow/tests/data/networks/small_network.json b/roseau/load_flow/tests/data/networks/small_network.json
index 25899d7d..0af56cfc 100644
--- a/roseau/load_flow/tests/data/networks/small_network.json
+++ b/roseau/load_flow/tests/data/networks/small_network.json
@@ -1,5 +1,5 @@
{
- "version": 2,
+ "version": 3,
"is_multiphase": true,
"grounds": [
{
@@ -66,6 +66,7 @@
"bus2": "bus1",
"length": 1.0,
"params_id": "test",
+ "max_loading": 1,
"geometry": {
"type": "LineString",
"coordinates": [
diff --git a/roseau/load_flow/tests/test_electrical_network.py b/roseau/load_flow/tests/test_electrical_network.py
index 7fc7ed8d..37a782c2 100644
--- a/roseau/load_flow/tests/test_electrical_network.py
+++ b/roseau/load_flow/tests/test_electrical_network.py
@@ -36,31 +36,31 @@
# The following networks are generated using the scripts/generate_test_networks.py script
-@pytest.fixture()
+@pytest.fixture
def all_element_network(test_networks_path) -> ElectricalNetwork:
# Load the network from the JSON file (without results)
return ElectricalNetwork.from_json(path=test_networks_path / "all_element_network.json", include_results=False)
-@pytest.fixture()
+@pytest.fixture
def all_element_network_with_results(test_networks_path) -> ElectricalNetwork:
# Load the network from the JSON file (with results, no need to invoke the solver)
return ElectricalNetwork.from_json(path=test_networks_path / "all_element_network.json", include_results=True)
-@pytest.fixture()
+@pytest.fixture
def small_network(test_networks_path) -> ElectricalNetwork:
# Load the network from the JSON file (without results)
return ElectricalNetwork.from_json(path=test_networks_path / "small_network.json", include_results=False)
-@pytest.fixture()
+@pytest.fixture
def small_network_with_results(test_networks_path) -> ElectricalNetwork:
# Load the network from the JSON file (with results, no need to invoke the solver)
return ElectricalNetwork.from_json(path=test_networks_path / "small_network.json", include_results=True)
-@pytest.fixture()
+@pytest.fixture
def single_phase_network(test_networks_path) -> ElectricalNetwork:
return ElectricalNetwork.from_json(path=test_networks_path / "single_phase_network.json", include_results=True)
@@ -91,7 +91,7 @@ def test_connect_and_disconnect():
load_bus2 = Bus(id="load_bus2", phases="abcn")
ground2 = Ground("ground2")
ground2.connect(bus=load_bus2)
- tp = TransformerParameters.from_catalogue(name="SE_Minera_A0Ak_50kVA")
+ tp = TransformerParameters.from_catalogue(name="SE Minera A0Ak 50kVA 15/20kV(20) 410V Yzn11")
Transformer(id="transfo", bus1=load_bus, bus2=load_bus2, parameters=tp)
with pytest.raises(RoseauLoadFlowException) as e:
en._check_validity(constructed=False)
@@ -138,8 +138,8 @@ def test_connect_and_disconnect():
with pytest.raises(RoseauLoadFlowException) as e:
en._disconnect_element(line)
assert e.value.msg == (
- " "
- "is a Line and it cannot be disconnected from a network."
+ " is a Line and it cannot be disconnected from a network."
)
assert e.value.code == RoseauLoadFlowExceptionCode.BAD_ELEMENT_OBJECT
@@ -343,7 +343,7 @@ def test_bad_networks():
# No potential reference
bus3 = Bus(id="bus3", phases="abcn")
tp = TransformerParameters.from_open_and_short_circuit_tests(
- id="t", type="Dyn11", uhv=20000, ulv=400, sn=160 * 1e3, p0=460, i0=2.3 / 100, psc=2350, vsc=4 / 100
+ id="t", vg="Dyn11", uhv=20000, ulv=400, sn=160 * 1e3, p0=460, i0=2.3 / 100, psc=2350, vsc=4 / 100
)
t = Transformer(id="transfo", bus1=bus2, bus2=bus3, parameters=tp)
with pytest.raises(RoseauLoadFlowException) as e:
@@ -466,8 +466,14 @@ def test_frame(small_network: ElectricalNetwork):
# Buses
buses_gdf = small_network.buses_frame
assert isinstance(buses_gdf, gpd.GeoDataFrame)
- assert buses_gdf.shape == (2, 4)
- assert buses_gdf.columns.tolist() == ["phases", "min_voltage", "max_voltage", "geometry"]
+ assert buses_gdf.shape == (2, 5)
+ assert buses_gdf.columns.tolist() == [
+ "phases",
+ "nominal_voltage",
+ "min_voltage_level",
+ "max_voltage_level",
+ "geometry",
+ ]
assert buses_gdf.index.name == "id"
# Lines
@@ -480,7 +486,7 @@ def test_frame(small_network: ElectricalNetwork):
"bus2_id",
"parameters_id",
"length",
- "max_current",
+ "max_loading",
"geometry",
]
@@ -494,7 +500,7 @@ def test_frame(small_network: ElectricalNetwork):
"bus1_id",
"bus2_id",
"parameters_id",
- "max_power",
+ "max_loading",
"geometry",
]
assert transformers_gdf.index.name == "id"
@@ -539,57 +545,73 @@ def test_empty_network():
def test_buses_voltages(small_network_with_results):
assert isinstance(small_network_with_results, ElectricalNetwork)
en = small_network_with_results
- en.buses["bus0"].max_voltage = 21_000
- en.buses["bus1"].min_voltage = 20_000
+ # Multiply by sqrt(3) because a neutral exists in the small network
+ nominal_voltage = 20_000 * np.sqrt(3)
+ en.buses["bus0"].nominal_voltage = nominal_voltage
+ en.buses["bus1"].nominal_voltage = nominal_voltage
+ en.buses["bus0"].max_voltage_level = 1.05
+ en.buses["bus1"].min_voltage_level = 1.0
voltage_records = [
{
"bus_id": "bus0",
"phase": "an",
"voltage": 20000.0 + 0.0j,
- "min_voltage": np.nan,
- "max_voltage": 21000,
"violated": False,
+ "voltage_level": 1.0,
+ "min_voltage_level": np.nan,
+ "max_voltage_level": 1.05,
+ "nominal_voltage": nominal_voltage,
},
{
"bus_id": "bus0",
"phase": "bn",
"voltage": -10000.0 + -17320.508076j,
- "min_voltage": np.nan,
- "max_voltage": 21000,
"violated": False,
+ "voltage_level": 1.0000000000134766,
+ "min_voltage_level": np.nan,
+ "max_voltage_level": 1.05,
+ "nominal_voltage": nominal_voltage,
},
{
"bus_id": "bus0",
"phase": "cn",
"voltage": -10000.0 + 17320.508076j,
- "min_voltage": np.nan,
- "max_voltage": 21000,
"violated": False,
+ "voltage_level": 1.0000000000134766,
+ "min_voltage_level": np.nan,
+ "max_voltage_level": 1.05,
+ "nominal_voltage": nominal_voltage,
},
{
"bus_id": "bus1",
"phase": "an",
"voltage": 19999.949999875 + 0.0j,
- "min_voltage": 20000,
- "max_voltage": np.nan,
"violated": True,
+ "voltage_level": 0.99999749999375,
+ "min_voltage_level": 1.0,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": nominal_voltage,
},
{
"bus_id": "bus1",
"phase": "bn",
"voltage": -9999.9749999375 + -17320.464774621556j,
- "min_voltage": 20000,
- "max_voltage": np.nan,
"violated": True,
+ "voltage_level": 0.9999975000072265,
+ "min_voltage_level": 1.0,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": nominal_voltage,
},
{
"bus_id": "bus1",
"phase": "cn",
"voltage": -9999.9749999375 + 17320.464774621556j,
- "min_voltage": 20000,
- "max_voltage": np.nan,
"violated": True,
+ "voltage_level": 0.9999975000072265,
+ "min_voltage_level": 1.0,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": nominal_voltage,
},
]
@@ -601,8 +623,9 @@ def test_buses_voltages(small_network_with_results):
"bus_id": str,
"phase": VoltagePhaseDtype,
"voltage": complex,
- "min_voltage": float,
- "max_voltage": float,
+ "voltage_level": float,
+ "min_voltage_level": float,
+ "max_voltage_level": float,
"violated": pd.BooleanDtype(),
}
)
@@ -610,9 +633,16 @@ def test_buses_voltages(small_network_with_results):
)
assert isinstance(buses_voltages, pd.DataFrame)
- assert buses_voltages.shape == (6, 4)
+ assert buses_voltages.shape == (6, 6)
assert buses_voltages.index.names == ["bus_id", "phase"]
- assert list(buses_voltages.columns) == ["voltage", "min_voltage", "max_voltage", "violated"]
+ assert list(buses_voltages.columns) == [
+ "voltage",
+ "violated",
+ "voltage_level",
+ "min_voltage_level",
+ "max_voltage_level",
+ "nominal_voltage",
+ ]
assert_frame_equal(buses_voltages, expected_buses_voltages, check_exact=False)
@@ -679,17 +709,21 @@ def test_single_phase_network(single_phase_network: ElectricalNetwork):
"bus_id": "bus0",
"phase": "bn",
"voltage": (19999.94999975 + 0j) - (-0.050000250001249996 + 0j),
- "min_voltage": np.nan,
- "max_voltage": np.nan,
"violated": None,
+ "voltage_level": np.nan,
+ "min_voltage_level": np.nan,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": np.nan,
},
{
"bus_id": "bus1",
"phase": "bn",
"voltage": (19999.899999499998 + 0j) - (0j),
- "min_voltage": np.nan,
- "max_voltage": np.nan,
"violated": None,
+ "voltage_level": np.nan,
+ "min_voltage_level": np.nan,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": np.nan,
},
]
)
@@ -697,9 +731,11 @@ def test_single_phase_network(single_phase_network: ElectricalNetwork):
{
"phase": VoltagePhaseDtype,
"voltage": complex,
- "min_voltage": float,
- "max_voltage": float,
+ "voltage_level": float,
+ "min_voltage_level": float,
+ "max_voltage_level": float,
"violated": pd.BooleanDtype(),
+ "nominal_voltage": float,
}
)
.set_index(["bus_id", "phase"]),
@@ -719,8 +755,10 @@ def test_single_phase_network(single_phase_network: ElectricalNetwork):
"power2",
"potential1",
"potential2",
- "max_power",
"violated",
+ "loading",
+ "max_loading",
+ "sn",
],
)
.astype(
@@ -732,8 +770,10 @@ def test_single_phase_network(single_phase_network: ElectricalNetwork):
"power2": complex,
"potential1": complex,
"potential2": complex,
- "max_power": float,
"violated": pd.BooleanDtype(),
+ "loading": float,
+ "max_loading": float,
+ "sn": float,
}
)
.set_index(["transformer_id", "phase"]),
@@ -757,8 +797,10 @@ def test_single_phase_network(single_phase_network: ElectricalNetwork):
+ (19999.899999499998 + 0j) * (-0.005000025000117603 - 0j).conjugate()
),
"series_current": 0.005000025000117603 + 0j,
- "max_current": np.nan,
"violated": None,
+ "loading": np.nan,
+ "max_loading": 1.0,
+ "ampacity": np.nan,
},
{
"line_id": "line",
@@ -774,8 +816,10 @@ def test_single_phase_network(single_phase_network: ElectricalNetwork):
+ (0j) * (0.005000025000125 - 0j).conjugate()
),
"series_current": -0.005000025000125 + 0j,
- "max_current": np.nan,
"violated": None,
+ "loading": np.nan,
+ "max_loading": 1.0,
+ "ampacity": np.nan,
},
]
)
@@ -790,8 +834,10 @@ def test_single_phase_network(single_phase_network: ElectricalNetwork):
"potential2": complex,
"series_losses": complex,
"series_current": complex,
- "max_current": float,
"violated": pd.BooleanDtype(),
+ "loading": float,
+ "max_loading": float,
+ "ampacity": float,
}
)
.set_index(["line_id", "phase"]),
@@ -967,7 +1013,7 @@ def test_network_results_warning(small_network, small_network_with_results, recw
for line in en.lines.values():
for result_field_name in result_field_names_dict["lines"]:
if result_field_name == "res_violated":
- continue # No max_currents
+ continue # No ampacities
if not line.with_shunt and "shunt" in result_field_name:
continue # No results if no shunt
with pytest.raises(RoseauLoadFlowException) as e:
@@ -1019,7 +1065,7 @@ def test_network_results_warning(small_network, small_network_with_results, recw
for line in en.lines.values():
for result_field_name in result_field_names_dict["lines"]:
if result_field_name == "res_violated":
- continue # No max_currents
+ continue # No ampacities
if not line.with_shunt and "shunt" in result_field_name:
continue # No results if no shunt
_ = getattr(line, result_field_name)
@@ -1060,7 +1106,7 @@ def test_network_results_warning(small_network, small_network_with_results, recw
for line in en.lines.values():
for result_field_name in result_field_names_dict["lines"]:
if result_field_name == "res_violated":
- continue # No max_currents
+ continue # No ampacities
if not line.with_shunt and "shunt" in result_field_name:
continue # No results if no shunt
with check_result_warning(expected_message=expected_message):
@@ -1128,7 +1174,10 @@ def test_network_results_error(small_network):
def test_load_flow_results_frames(small_network_with_results):
en = small_network_with_results
- en.buses["bus0"].min_voltage = 21_000
+ # Multiply by sqrt(3) because a neutral exists in the small network
+ nominal_voltage = 20_000 * np.sqrt(3)
+ en.buses["bus0"].nominal_voltage = nominal_voltage
+ en.buses["bus0"].min_voltage_level = 1.05
# Buses results
expected_res_buses = (
@@ -1157,49 +1206,61 @@ def test_load_flow_results_frames(small_network_with_results):
"bus_id": "bus0",
"phase": "an",
"voltage": (20000 + 2.89120e-18j) - (-1.34764e-12 + 2.89120e-18j),
- "min_voltage": 21_000,
- "max_voltage": np.nan,
"violated": True,
+ "voltage_level": 1.0,
+ "min_voltage_level": 1.05,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": nominal_voltage,
},
{
"bus_id": "bus0",
"phase": "bn",
"voltage": (-10000.00000 - 17320.50807j) - (-1.34764e-12 + 2.89120e-18j),
- "min_voltage": 21_000,
- "max_voltage": np.nan,
"violated": True,
+ "voltage_level": 1.0000000000134766,
+ "min_voltage_level": 1.05,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": nominal_voltage,
},
{
"bus_id": "bus0",
"phase": "cn",
"voltage": (-10000.00000 + 17320.50807j) - (-1.34764e-12 + 2.89120e-18j),
- "min_voltage": 21_000,
- "max_voltage": np.nan,
"violated": True,
+ "voltage_level": 1.0000000000134766,
+ "min_voltage_level": 1.05,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": nominal_voltage,
},
{
"bus_id": "bus1",
"phase": "an",
"voltage": (19999.94999 + 2.89119e-18j) - (0j),
- "min_voltage": np.nan,
- "max_voltage": np.nan,
"violated": None,
+ "voltage_level": np.nan,
+ "min_voltage_level": np.nan,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": np.nan,
},
{
"bus_id": "bus1",
"phase": "bn",
"voltage": (-9999.97499 - 17320.46477j) - (0j),
- "min_voltage": np.nan,
- "max_voltage": np.nan,
"violated": None,
+ "voltage_level": np.nan,
+ "min_voltage_level": np.nan,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": np.nan,
},
{
"bus_id": "bus1",
"phase": "cn",
"voltage": (-9999.97499 + 17320.46477j) - (0j),
- "min_voltage": np.nan,
- "max_voltage": np.nan,
"violated": None,
+ "voltage_level": np.nan,
+ "min_voltage_level": np.nan,
+ "max_voltage_level": np.nan,
+ "nominal_voltage": np.nan,
},
]
)
@@ -1208,9 +1269,11 @@ def test_load_flow_results_frames(small_network_with_results):
"bus_id": object,
"phase": VoltagePhaseDtype,
"voltage": complex,
- "min_voltage": float,
- "max_voltage": float,
"violated": pd.BooleanDtype(),
+ "voltage_level": float,
+ "min_voltage_level": float,
+ "max_voltage_level": float,
+ "nominal_voltage": float,
}
)
.set_index(["bus_id", "phase"])
@@ -1230,8 +1293,10 @@ def test_load_flow_results_frames(small_network_with_results):
"power2",
"potential1",
"potential2",
- "max_power",
"violated",
+ "loading",
+ "max_loading",
+ "sn",
],
)
.astype(
@@ -1244,8 +1309,10 @@ def test_load_flow_results_frames(small_network_with_results):
"power2": complex,
"potential1": complex,
"potential2": complex,
- "max_power": float,
+ "loading": float,
"violated": pd.BooleanDtype(),
+ "max_loading": float,
+ "sn": float,
}
)
.set_index(["transformer_id", "phase"])
@@ -1268,8 +1335,10 @@ def test_load_flow_results_frames(small_network_with_results):
+ (19999.94999 + 2.89119e-18j) * (-0.00500 - 7.22799e-25j).conjugate()
),
"series_current": 0.00500 + 7.22799e-25j,
- "max_current": np.nan,
"violated": None,
+ "loading": np.nan,
+ "max_loading": 1.0,
+ "ampacity": np.nan,
},
{
"line_id": "line",
@@ -1285,8 +1354,10 @@ def test_load_flow_results_frames(small_network_with_results):
+ (-9999.97499 - 17320.46477j) * (0.00250 + 0.00433j).conjugate()
),
"series_current": -0.00250 - 0.00433j,
- "max_current": np.nan,
"violated": None,
+ "loading": np.nan,
+ "max_loading": 1.0,
+ "ampacity": np.nan,
},
{
"line_id": "line",
@@ -1302,8 +1373,10 @@ def test_load_flow_results_frames(small_network_with_results):
+ (-9999.97499 + 17320.46477j) * (0.00250 - 0.00433j).conjugate()
),
"series_current": -0.00250 + 0.00433j,
- "max_current": np.nan,
"violated": None,
+ "loading": np.nan,
+ "max_loading": 1.0,
+ "ampacity": np.nan,
},
{
"line_id": "line",
@@ -1319,8 +1392,10 @@ def test_load_flow_results_frames(small_network_with_results):
+ (0j) * (1.34764e-13 - 2.89120e-19j).conjugate()
),
"series_current": -1.34764e-13 + 2.89120e-19j,
- "max_current": np.nan,
"violated": None,
+ "loading": np.nan,
+ "max_loading": 1.0,
+ "ampacity": np.nan,
},
]
expected_res_lines_dtypes = {
@@ -1334,8 +1409,10 @@ def test_load_flow_results_frames(small_network_with_results):
"potential2": complex,
"series_losses": complex,
"series_current": complex,
- "max_current": float,
"violated": pd.BooleanDtype(),
+ "loading": float,
+ "max_loading": float,
+ "ampacity": float,
}
expected_res_lines = (
pd.DataFrame.from_records(expected_res_lines_records)
@@ -1345,10 +1422,17 @@ def test_load_flow_results_frames(small_network_with_results):
assert_frame_equal(en.res_lines, expected_res_lines, rtol=1e-4, atol=1e-5)
# Lines with violated max current
- en.lines["line"].parameters.max_current = 0.002
- expected_res_lines_violated_records = [
- d | {"max_current": 0.002, "violated": d["phase"] != "n"} for d in expected_res_lines_records
- ]
+ en.lines["line"].parameters.ampacities = 0.002
+ expected_res_lines_violated_records = []
+ for d in expected_res_lines_records:
+ if d["phase"] == "n":
+ expected_res_lines_violated_records.append(
+ d | {"ampacity": 0.002, "violated": False, "loading": 6.738240607860843e-11}
+ )
+ else:
+ expected_res_lines_violated_records.append(
+ d | {"ampacity": 0.002, "violated": True, "loading": 2.500006250011211}
+ )
expected_res_violated_lines = (
pd.DataFrame.from_records(expected_res_lines_violated_records)
.astype(expected_res_lines_dtypes)
@@ -1811,49 +1895,54 @@ def test_get_catalogue():
assert catalogue.empty
-def test_to_graph(small_network: ElectricalNetwork):
- g = small_network.to_graph()
+def test_to_graph(all_element_network: ElectricalNetwork):
+ g = all_element_network.to_graph()
assert isinstance(g, nx.Graph)
- assert sorted(g.nodes) == sorted(small_network.buses)
+ assert sorted(g.nodes) == sorted(all_element_network.buses)
assert sorted(g.edges) == sorted(
(b.bus1.id, b.bus2.id)
for b in it.chain(
- small_network.lines.values(), small_network.transformers.values(), small_network.switches.values()
+ all_element_network.lines.values(),
+ all_element_network.transformers.values(),
+ all_element_network.switches.values(),
)
)
- for bus in small_network.buses.values():
+ for bus in all_element_network.buses.values():
node_data = g.nodes[bus.id]
assert node_data["geom"] == bus.geometry
- for line in small_network.lines.values():
+ for line in all_element_network.lines.values():
edge_data = g.edges[line.bus1.id, line.bus2.id]
- max_current = line.max_current.magnitude if line.max_current is not None else None
+ ampacities = line.ampacities.magnitude.tolist() if line.ampacities is not None else None
assert edge_data == {
"id": line.id,
"type": "line",
"phases": line.phases,
+ "length": line.length.m,
"parameters_id": line.parameters.id,
- "max_current": max_current,
+ "ampacities": ampacities,
+ "max_loading": line._max_loading,
"geom": line.geometry,
}
- for transformer in small_network.transformers.values():
+ for transformer in all_element_network.transformers.values():
edge_data = g.edges[transformer.bus1.id, transformer.bus2.id]
- max_power = transformer.max_power.magnitude if transformer.max_power is not None else None
+ max_loading = transformer.max_loading.magnitude if transformer.max_loading is not None else None
assert edge_data == {
"id": transformer.id,
"type": "transformer",
"phases1": transformer.phases1,
"phases2": transformer.phases2,
"parameters_id": transformer.parameters.id,
- "max_power": max_power,
+ "max_loading": max_loading,
+ "sn": transformer.sn.magnitude,
"geom": transformer.geometry,
}
- for switch in small_network.switches.values():
+ for switch in all_element_network.switches.values():
edge_data = g.edges[switch.bus1.id, switch.bus2.id]
- assert edge_data == {"id": switch.id, "type": "switch", "geom": switch.geometry}
+ assert edge_data == {"id": switch.id, "type": "switch", "phases": switch.phases, "geom": switch.geometry}
def test_serialization(all_element_network, all_element_network_with_results):
@@ -2129,9 +2218,9 @@ def test_propagate_potentials_center_transformers():
# Source is located at the primary side of the transformer
bus1 = Bus(id="bus1", phases="ab")
PotentialRef(id="pref", element=bus1)
- VoltageSource(id="vs", bus=bus1, voltages=[20000])
+ VoltageSource(id="vs", bus=bus1, voltages=20000)
tp = TransformerParameters.from_open_and_short_circuit_tests(
- id="test", type="center", sn=160000, uhv=20000.0, ulv=400.0, i0=0.023, p0=460.0, psc=2350.0, vsc=0.04
+ id="test", vg="Iii0", sn=160000, uhv=20000.0, ulv=400.0, i0=0.023, p0=460.0, psc=2350.0, vsc=0.04
)
bus2 = Bus(id="bus2", phases="abn")
PotentialRef(id="pref2", element=bus2)
diff --git a/roseau/load_flow/tests/test_solvers.py b/roseau/load_flow/tests/test_solvers.py
index 7b9225db..3bfe8dd6 100644
--- a/roseau/load_flow/tests/test_solvers.py
+++ b/roseau/load_flow/tests/test_solvers.py
@@ -1,11 +1,15 @@
import contextlib
+import numpy as np
import pytest
from roseau.load_flow import (
Bus,
ElectricalNetwork,
+ Line,
+ LineParameters,
PotentialRef,
+ PowerLoad,
RoseauLoadFlowException,
RoseauLoadFlowExceptionCode,
VoltageSource,
@@ -74,3 +78,50 @@ def test_network_solver():
with contextlib.suppress(TypeError): # cython solve_load_flow method has been patched
en.solve_load_flow() # Reset to default
assert isinstance(en._solver, NewtonGoldstein)
+
+
+def test_backward_forward_limitations():
+ bus1 = Bus(id="bus1", phases="abc")
+ PotentialRef(id="pref", element=bus1)
+ VoltageSource(id="vs", bus=bus1, voltages=20000)
+ bus2 = Bus(id="bus2", phases="abc")
+ lp = LineParameters(id="test", z_line=np.eye(3, dtype=complex))
+ Line(id="line1", bus1=bus1, bus2=bus2, parameters=lp, length=1.0)
+ bus3 = Bus(id="bus3", phases="abc")
+ Line(id="line2", bus1=bus2, bus2=bus3, parameters=lp, length=1.0)
+ en = ElectricalNetwork.from_element(bus1)
+ with contextlib.suppress(TypeError): # cython solve_load_flow method has been patched
+ en.solve_load_flow(solver="backward_forward") # Ok, no loop or floating neutral
+
+ # Add floating neutral
+ load = PowerLoad(id="load", bus=bus3, powers=[10, 10, 10], phases="abcn")
+ with pytest.raises(RoseauLoadFlowException) as e:
+ en.solve_load_flow(solver="backward_forward")
+ assert (
+ "The backward-forward solver does not support loads or voltage sources with floating neutral" in e.value.args[0]
+ )
+ assert e.value.args[1] == RoseauLoadFlowExceptionCode.NO_BACKWARD_FORWARD
+ load.disconnect()
+
+ with contextlib.suppress(TypeError): # cython solve_load_flow method has been patched
+ en.solve_load_flow(solver="backward_forward") # Ok, no loop or floating neutral
+
+ # Add floating neutral
+ vs = VoltageSource(id="vs2", bus=bus3, voltages=20e3, phases="abcn")
+ with pytest.raises(RoseauLoadFlowException) as e:
+ en.solve_load_flow(solver="backward_forward")
+ assert (
+ "The backward-forward solver does not support loads or voltage sources with floating neutral" in e.value.args[0]
+ )
+ assert e.value.args[1] == RoseauLoadFlowExceptionCode.NO_BACKWARD_FORWARD
+ vs.disconnect()
+
+ with contextlib.suppress(TypeError): # cython solve_load_flow method has been patched
+ en.solve_load_flow(solver="backward_forward") # Ok, no loop or floating neutral
+
+ # Add loop
+ Line(id="line3", bus1=bus1, bus2=bus3, parameters=lp, length=1.0)
+ with pytest.raises(RoseauLoadFlowException) as e:
+ en.solve_load_flow(solver="backward_forward")
+ assert "The backward-forward solver does not support loops, but the network contains one." in e.value.args[0]
+ assert e.value.args[1] == RoseauLoadFlowExceptionCode.NO_BACKWARD_FORWARD
diff --git a/roseau/load_flow/typing.py b/roseau/load_flow/typing.py
index db3a3d36..c7d31764 100644
--- a/roseau/load_flow/typing.py
+++ b/roseau/load_flow/typing.py
@@ -70,9 +70,10 @@
StrPath: TypeAlias = str | os.PathLike[str]
ControlType: TypeAlias = Literal["constant", "p_max_u_production", "p_max_u_consumption", "q_u"]
ProjectionType: TypeAlias = Literal["euclidean", "keep_p", "keep_q"]
-Solver: TypeAlias = Literal["newton", "newton_goldstein"]
+Solver: TypeAlias = Literal["newton", "newton_goldstein", "backward_forward"]
MapOrSeq: TypeAlias = Mapping[int, T] | Mapping[str, T] | Mapping[Id, T] | Sequence[T]
ComplexArray: TypeAlias = NDArray[np.complex128]
+FloatArray: TypeAlias = NDArray[np.float64]
QtyOrMag: TypeAlias = Q_[T] | T
Int: TypeAlias = int | np.integer[Any]
@@ -87,6 +88,8 @@
FloatArrayLike1D: TypeAlias = (
QtyOrMag[NDArray[np.floating[Any] | np.integer[Any]] | Sequence[Float]] | Sequence[QtyOrMag[Float]]
)
+FloatScalarOrArrayLike1D: TypeAlias = FloatArrayLike1D | QtyOrMag[Float]
+
__all__ = [
"Id",
@@ -96,8 +99,11 @@
"ProjectionType",
"Solver",
"MapOrSeq",
+ "FloatArray",
"ComplexArray",
"ComplexArrayLike1D",
"ComplexArrayLike2D",
"FloatArrayLike1D",
+ "ComplexScalarOrArrayLike1D",
+ "FloatScalarOrArrayLike1D",
]
diff --git a/roseau/load_flow/units.py b/roseau/load_flow/units.py
index b220f3af..fd36893b 100644
--- a/roseau/load_flow/units.py
+++ b/roseau/load_flow/units.py
@@ -112,8 +112,10 @@ def ureg_wraps(
Args:
ret:
Units of each of the return values. Use `None` to skip argument conversion.
+
args:
Units of each of the input arguments. Use `None` to skip argument conversion.
+
strict:
Indicates that only quantities are accepted. (Default value = True)
"""
diff --git a/roseau/load_flow/utils/__init__.py b/roseau/load_flow/utils/__init__.py
index b3e5207f..b9d991f5 100644
--- a/roseau/load_flow/utils/__init__.py
+++ b/roseau/load_flow/utils/__init__.py
@@ -22,10 +22,10 @@
from roseau.load_flow.utils.mixins import CatalogueMixin, Identifiable, JsonMixin
from roseau.load_flow.utils.types import (
BranchTypeDtype,
- ConductorType,
- InsulatorType,
+ Insulator,
LineType,
LoadTypeDtype,
+ Material,
PhaseDtype,
SequenceDtype,
VoltagePhaseDtype,
@@ -54,8 +54,8 @@
"CatalogueMixin",
# Types
"LineType",
- "ConductorType",
- "InsulatorType",
+ "Material",
+ "Insulator",
# Dtypes
"PhaseDtype",
"VoltagePhaseDtype",
diff --git a/roseau/load_flow/utils/_doc_utils.py b/roseau/load_flow/utils/_doc_utils.py
new file mode 100644
index 00000000..2a9a5271
--- /dev/null
+++ b/roseau/load_flow/utils/_doc_utils.py
@@ -0,0 +1,72 @@
+import pandas as pd
+
+
+def to_markdown(df: pd.DataFrame, *, floatfmt: str = "g", index: bool = True, no_wrap_index: bool = False) -> str:
+ """Format a dataframe as markdown for use in the docs.
+
+ Features:
+ - Pretty format complex numbers with the same format spec as floats.
+ - Right-align numerical columns and left-align other columns.
+ - Optionally wrap index in ```` tags to prevent line breaks.
+
+ Args:
+ df:
+ The dataframe to format.
+
+ floatfmt:
+ Format specification used for columns which contain numeric data with a decimal point.
+ It is also used for real and imaginary parts of complex numbers.
+
+ index:
+ Whether to include the index in the markdown table.
+
+ no_wrap_index:
+ Whether to wrap the index in ```` tags.
+
+ Returns:
+ A string representing the dataframe formatted as a markdown table.
+
+ Examples:
+
+ Print a results dataframe. Reset the multi-index for better display:
+
+ >>> print(tomarkdown(en.res_buses_voltages.reset_index(), index=False))
+ | bus_id | phase | voltage | violated | voltage_level | ...
+ |:----------------|:--------|-----------------:|:-----------|----------------:| ...
+ | MVLV03045 | ab | 17320.5+10000 | False | 1 | ...
+ | MVLV03045 | bc | 0-20000 | False | 1 | ...
+ | MVLV03045 | ca | -17320.5+10000 | False | 1 | ...
+
+ Print catalogue of transformer parameters. Avoid line breaks in the index:
+
+ >>> tr_catalogue = rlf.TransformerParameters.get_catalogue().sample(30, random_state=1)
+ >>> print(to_markdown(tr_catalogue, no_wrap_index=True))
+ | Name | Manufacturer | Product range | ...
+ |:-----------------------------------------------|:---------------|:----------------| ...
+ | FT 100kVA 15/20kV(20) 400V Dyn11 | FT | | ...
+ | FT 160kVA 15/20kV(20) 400V Dyn11 | FT | | ...
+
+ """
+ if df.empty:
+ return df.to_markdown(index=index)
+
+ df = df.copy()
+ if index and no_wrap_index and pd.api.types.is_string_dtype(df.index):
+ df.index = "" + df.index + ""
+
+ colalign = []
+ if index:
+ colalign.append("left")
+ for c in df.columns:
+ if (
+ (is_complex_dtype := pd.api.types.is_complex_dtype(df[c]))
+ or pd.api.types.is_float_dtype(df[c])
+ or pd.api.types.is_integer_dtype(df[c])
+ ):
+ colalign.append("right")
+ if is_complex_dtype:
+ df[c] = df[c].apply(lambda x: f"{x.real:{floatfmt}}{x.imag:+{floatfmt}}")
+ else:
+ colalign.append("left")
+
+ return df.to_markdown(index=index, floatfmt=floatfmt, colalign=colalign)
diff --git a/roseau/load_flow/utils/_exceptions.py b/roseau/load_flow/utils/_exceptions.py
new file mode 100644
index 00000000..3db0cd06
--- /dev/null
+++ b/roseau/load_flow/utils/_exceptions.py
@@ -0,0 +1,40 @@
+# The find_stack_level function is adapted from the `pandas.util._exceptions.find_stack_level`
+# function from the pandas library licensed under the BSD 3-Clause license.
+# pandas source code is available at https://github.com/pandas-dev/pandas
+import inspect
+from pathlib import Path
+
+_pkg_and_tests_dirs: tuple[str, tuple[str, ...]] | None = None
+
+
+def _get_dirs() -> tuple[str, tuple[str, ...]]:
+ global _pkg_and_tests_dirs
+ if _pkg_and_tests_dirs is None:
+ import roseau.load_flow
+
+ pkg_dir = Path(roseau.load_flow.__file__).parent
+ test_dirs = tuple(str(p) for p in pkg_dir.glob("**/tests") if p.is_dir())
+ _pkg_and_tests_dirs = str(pkg_dir), test_dirs
+ return _pkg_and_tests_dirs
+
+
+def find_stack_level() -> int:
+ """Find the first place in the stack that is not inside `roseau.load_flow` (tests notwithstanding)."""
+ pkg_dir, test_dirs = _get_dirs()
+
+ # https://stackoverflow.com/questions/17407119/python-inspect-stack-is-slow
+ frame = inspect.currentframe()
+ try:
+ n = 0
+ while frame: # pragma: no cover
+ filename = inspect.getfile(frame)
+ if filename.startswith(pkg_dir) and not filename.startswith(test_dirs):
+ frame = frame.f_back
+ n += 1
+ else:
+ break
+ finally:
+ # See note in https://docs.python.org/3/library/inspect.html#inspect.Traceback
+ # And Issue https://github.com/pandas-dev/pandas/issues/54628
+ del frame
+ return max(n, 2)
diff --git a/roseau/load_flow/utils/_versions.py b/roseau/load_flow/utils/_versions.py
index 6cd671e8..82e61c3f 100644
--- a/roseau/load_flow/utils/_versions.py
+++ b/roseau/load_flow/utils/_versions.py
@@ -25,7 +25,6 @@ def _get_dependency_info() -> JsonDict:
"numpy",
"geopandas",
"shapely",
- "regex",
"pint",
"platformdirs",
"certifi",
diff --git a/roseau/load_flow/utils/constants.py b/roseau/load_flow/utils/constants.py
index 3cf83b7b..69595a8e 100644
--- a/roseau/load_flow/utils/constants.py
+++ b/roseau/load_flow/utils/constants.py
@@ -3,7 +3,7 @@
import numpy as np
from roseau.load_flow.units import Q_
-from roseau.load_flow.utils.types import ConductorType, InsulatorType
+from roseau.load_flow.utils.types import Insulator, Material
PI: float = cmath.pi
"""The famous mathematical constant :math:`\\pi = 3.141592\\ldots`."""
@@ -35,30 +35,30 @@
OMEGA: Q_[float] = Q_(2 * PI * F, "rad/s")
"""Angular frequency :math:`\\omega = 2 \\pi f` (rad/s)."""
-RHO: dict[ConductorType, Q_[float]] = {
- ConductorType.CU: Q_(1.7241e-8, "ohm*m"), # IEC 60287-1-1 Table 1
- ConductorType.AL: Q_(2.8264e-8, "ohm*m"), # IEC 60287-1-1 Table 1
- ConductorType.AM: Q_(3.26e-8, "ohm*m"), # verified
- ConductorType.AA: Q_(4.0587e-8, "ohm*m"), # verified (approx. AS 3607 ACSR/GZ)
- ConductorType.LA: Q_(3.26e-8, "ohm*m"),
+RHO: dict[Material, Q_[float]] = {
+ Material.CU: Q_(1.7241e-8, "ohm*m"), # IEC 60287-1-1 Table 1
+ Material.AL: Q_(2.8264e-8, "ohm*m"), # IEC 60287-1-1 Table 1
+ Material.AM: Q_(3.26e-8, "ohm*m"), # verified
+ Material.AA: Q_(4.0587e-8, "ohm*m"), # verified (approx. AS 3607 ACSR/GZ)
+ Material.LA: Q_(3.26e-8, "ohm*m"),
}
"""Resistivity of common conductor materials (Ohm.m)."""
-MU_R: dict[ConductorType, Q_[float]] = {
- ConductorType.CU: Q_(0.9999935849131266),
- ConductorType.AL: Q_(1.0000222328028834),
- ConductorType.AM: Q_(0.9999705074463784),
- ConductorType.AA: Q_(1.0000222328028834), # ==AL
- ConductorType.LA: Q_(0.9999705074463784), # ==AM
+MU_R: dict[Material, Q_[float]] = {
+ Material.CU: Q_(0.9999935849131266),
+ Material.AL: Q_(1.0000222328028834),
+ Material.AM: Q_(0.9999705074463784),
+ Material.AA: Q_(1.0000222328028834), # ==AL
+ Material.LA: Q_(0.9999705074463784), # ==AM
}
"""Relative magnetic permeability of common conductor materials."""
-DELTA_P: dict[ConductorType, Q_[float]] = {
- ConductorType.CU: Q_(9.33, "mm"),
- ConductorType.AL: Q_(11.95, "mm"),
- ConductorType.AM: Q_(12.85, "mm"),
- ConductorType.AA: Q_(14.34, "mm"),
- ConductorType.LA: Q_(12.85, "mm"),
+DELTA_P: dict[Material, Q_[float]] = {
+ Material.CU: Q_(9.33, "mm"),
+ Material.AL: Q_(11.95, "mm"),
+ Material.AM: Q_(12.85, "mm"),
+ Material.AA: Q_(14.34, "mm"),
+ Material.LA: Q_(12.85, "mm"),
}
"""Skin depth of common conductor materials :math:`\\sqrt{\\dfrac{\\rho}{\\pi f \\mu_r \\mu_0}}` (mm)."""
# Skin depth is the depth at which the current density is reduced to 1/e (~37%) of the surface value.
@@ -66,31 +66,31 @@
# ---------------
# def delta_p(rho, mu_r):
# return np.sqrt(rho / (PI * F * mu_r * MU_0))
-# for material in ConductorType:
+# for material in Material:
# print(material, delta_p(RHO[material], MU_R[material]).m_as("mm"))
-TAN_D: dict[InsulatorType, Q_[float]] = {
- InsulatorType.PVC: Q_(1000e-4),
- InsulatorType.HDPE: Q_(10e-4),
- InsulatorType.MDPE: Q_(10e-4),
- InsulatorType.LDPE: Q_(10e-4),
- InsulatorType.XLPE: Q_(40e-4),
- InsulatorType.EPR: Q_(200e-4),
- InsulatorType.IP: Q_(100e-4),
- InsulatorType.UNKNOWN: Q_(0),
+TAN_D: dict[Insulator, Q_[float]] = {
+ Insulator.PVC: Q_(1000e-4),
+ Insulator.HDPE: Q_(10e-4),
+ Insulator.MDPE: Q_(10e-4),
+ Insulator.LDPE: Q_(10e-4),
+ Insulator.XLPE: Q_(40e-4),
+ Insulator.EPR: Q_(200e-4),
+ Insulator.IP: Q_(100e-4),
+ Insulator.NONE: Q_(0),
}
"""Loss angles of common insulator materials according to the IEC 60287 standard."""
# IEC 60287-1-1 Table 3. We only include the MV values.
-EPSILON_R: dict[InsulatorType, Q_[float]] = {
- InsulatorType.PVC: Q_(8.0),
- InsulatorType.HDPE: Q_(2.3),
- InsulatorType.MDPE: Q_(2.3),
- InsulatorType.LDPE: Q_(2.3),
- InsulatorType.XLPE: Q_(2.5),
- InsulatorType.EPR: Q_(3.0),
- InsulatorType.IP: Q_(4.0),
- InsulatorType.UNKNOWN: Q_(1.0),
+EPSILON_R: dict[Insulator, Q_[float]] = {
+ Insulator.PVC: Q_(8.0),
+ Insulator.HDPE: Q_(2.3),
+ Insulator.MDPE: Q_(2.3),
+ Insulator.LDPE: Q_(2.3),
+ Insulator.XLPE: Q_(2.5),
+ Insulator.EPR: Q_(3.0),
+ Insulator.IP: Q_(4.0),
+ Insulator.NONE: Q_(1.0),
}
"""Relative permittivity of common insulator materials according to the IEC 60287 standard."""
# IEC 60287-1-1 Table 3. We only include the MV values.
diff --git a/roseau/load_flow/utils/mixins.py b/roseau/load_flow/utils/mixins.py
index d52461ee..a9dd3c33 100644
--- a/roseau/load_flow/utils/mixins.py
+++ b/roseau/load_flow/utils/mixins.py
@@ -295,7 +295,7 @@ def _filter_catalogue_str(
else:
try:
pattern = re.compile(pattern=value, flags=re.IGNORECASE)
- result = vector.str.fullmatch(pattern)
+ result = vector.str.fullmatch(pattern) | (vector.str.lower() == value.lower())
except re.error:
# fallback to string comparison
result = vector.str.lower() == value.lower()
diff --git a/roseau/load_flow/utils/tests/test_constants.py b/roseau/load_flow/utils/tests/test_constants.py
index db6fbfdc..09b2cdc8 100644
--- a/roseau/load_flow/utils/tests/test_constants.py
+++ b/roseau/load_flow/utils/tests/test_constants.py
@@ -1,15 +1,13 @@
from roseau.load_flow.utils.constants import DELTA_P, EPSILON_R, MU_R, RHO, TAN_D
-from roseau.load_flow.utils.types import ConductorType, InsulatorType
+from roseau.load_flow.utils.types import Insulator, Material
def test_constants():
- for x in ConductorType:
+ for x in Material:
assert x in MU_R
assert x in RHO
assert x in DELTA_P
- for x in InsulatorType:
- if x == InsulatorType.UNKNOWN:
- continue
+ for x in Insulator:
assert x in TAN_D
assert x in EPSILON_R
diff --git a/roseau/load_flow/utils/tests/test_types.py b/roseau/load_flow/utils/tests/test_types.py
index e38591a3..4a3c6e11 100644
--- a/roseau/load_flow/utils/tests/test_types.py
+++ b/roseau/load_flow/utils/tests/test_types.py
@@ -1,9 +1,9 @@
import pytest
from roseau.load_flow.exceptions import RoseauLoadFlowException, RoseauLoadFlowExceptionCode
-from roseau.load_flow.utils.types import ConductorType, InsulatorType, LineType
+from roseau.load_flow.utils.types import Insulator, LineType, Material
-TYPES = [ConductorType, InsulatorType, LineType]
+TYPES = [Material, Insulator, LineType]
TYPES_IDS = [x.__name__ for x in TYPES]
@@ -32,18 +32,16 @@ def test_line_type():
assert LineType("T") == LineType.TWISTED
-def test_insulator_type():
- assert InsulatorType("") == InsulatorType.UNKNOWN
- assert InsulatorType("nan") == InsulatorType.UNKNOWN
- assert InsulatorType("pex") == InsulatorType.XLPE
+def test_insulator():
+ assert Insulator("pex") == Insulator.XLPE
-def test_conductor_type():
+def test_material():
with pytest.raises(RoseauLoadFlowException) as e:
- ConductorType("")
- assert "cannot be converted into a ConductorType" in e.value.msg
- assert e.value.code == RoseauLoadFlowExceptionCode.BAD_CONDUCTOR_TYPE
+ Material("")
+ assert "cannot be converted into a Material" in e.value.msg
+ assert e.value.code == RoseauLoadFlowExceptionCode.BAD_MATERIAL
with pytest.raises(RoseauLoadFlowException) as e:
- ConductorType("nan")
- assert "cannot be converted into a ConductorType" in e.value.msg
- assert e.value.code == RoseauLoadFlowExceptionCode.BAD_CONDUCTOR_TYPE
+ Material("nan")
+ assert "cannot be converted into a Material" in e.value.msg
+ assert e.value.code == RoseauLoadFlowExceptionCode.BAD_MATERIAL
diff --git a/roseau/load_flow/utils/tests/test_versions.py b/roseau/load_flow/utils/tests/test_versions.py
index 605aeb20..646d5e24 100644
--- a/roseau/load_flow/utils/tests/test_versions.py
+++ b/roseau/load_flow/utils/tests/test_versions.py
@@ -18,4 +18,4 @@ def test_versions(capsys):
assert lines[9] == "----------------------"
for i, (key, value) in enumerate(_get_dependency_info().items()):
assert re.fullmatch(pattern=rf"{key}\s+{value}", string=lines[10 + i])
- assert lines[20] == ""
+ assert lines[19] == ""
diff --git a/roseau/load_flow/utils/types.py b/roseau/load_flow/utils/types.py
index 8cd85325..109f95e0 100644
--- a/roseau/load_flow/utils/types.py
+++ b/roseau/load_flow/utils/types.py
@@ -47,13 +47,18 @@
"voltage": complex,
"voltage1": complex,
"voltage2": complex,
- "max_power": float,
"series_losses": complex,
"shunt_losses": complex,
"series_current": complex,
"max_current": float,
- "min_voltage": float,
- "max_voltage": float,
+ "loading": float,
+ "max_loading": float,
+ "sn": float,
+ "ampacity": float,
+ "voltage_level": float,
+ "nominal_voltage": float,
+ "min_voltage_level": float,
+ "max_voltage_level": float,
"violated": pd.BooleanDtype(),
"flexible": pd.BooleanDtype(),
}
@@ -90,7 +95,7 @@ def code(self) -> str:
return self.name[0]
-class ConductorType(StrEnum):
+class Material(StrEnum):
"""The type of the material of the conductor."""
CU = auto()
@@ -125,26 +130,26 @@ class ConductorType(StrEnum):
"""Aluminum Alloy Conductor Steel Reinforced (AACSR) -- Fr = Almélec-Acier."""
@classmethod
- def _missing_(cls, value: object) -> "ConductorType | None":
+ def _missing_(cls, value: object) -> "Material":
if isinstance(value, str):
try:
return cls[value.upper()]
except KeyError:
pass
- msg = f"{value!r} cannot be converted into a ConductorType."
+ msg = f"{value!r} cannot be converted into a Material."
logger.error(msg)
- raise RoseauLoadFlowException(msg, RoseauLoadFlowExceptionCode.BAD_CONDUCTOR_TYPE)
+ raise RoseauLoadFlowException(msg, RoseauLoadFlowExceptionCode.BAD_MATERIAL)
def code(self) -> str:
"""A code that can be used in conductor type names."""
return self.name
-class InsulatorType(StrEnum):
+class Insulator(StrEnum):
"""The type of the insulator for a wire."""
- UNKNOWN = auto()
- """The material of the insulator is unknown."""
+ NONE = auto()
+ """No insulation."""
# General insulators (IEC 60287)
HDPE = auto()
@@ -169,18 +174,15 @@ class InsulatorType(StrEnum):
"""Alias -- Medium-Density PolyEthylene (MDPE) insulation."""
@classmethod
- def _missing_(cls, value: object) -> "InsulatorType | None":
+ def _missing_(cls, value: object) -> "Insulator":
if isinstance(value, str):
- string = value.upper()
- if string in {"", "NAN"}:
- return cls.UNKNOWN
try:
- return cls[string]
+ return cls[value.upper()]
except KeyError:
pass
- msg = f"{value!r} cannot be converted into a InsulatorType."
+ msg = f"{value!r} cannot be converted into a Insulator."
logger.error(msg)
- raise RoseauLoadFlowException(msg, RoseauLoadFlowExceptionCode.BAD_INSULATOR_TYPE)
+ raise RoseauLoadFlowException(msg, RoseauLoadFlowExceptionCode.BAD_INSULATOR)
def code(self) -> str:
"""A code that can be used in insulator type names."""
diff --git a/scripts/generate_test_networks.py b/scripts/generate_test_networks.py
index 0940941c..0a74cfc4 100644
--- a/scripts/generate_test_networks.py
+++ b/scripts/generate_test_networks.py
@@ -107,7 +107,7 @@ def generate_all_element_network() -> None:
line0 = rlf.Line(id="line0", bus1=bus0, bus2=bus1, parameters=lp0, length=rlf.Q_(1.5, "km"), ground=ground)
# Transformer between bus1 and bus2
- tp0 = rlf.TransformerParameters.from_catalogue(name="SE_Minera_A0Ak_100kVA", id="tp0")
+ tp0 = rlf.TransformerParameters.from_catalogue(name="SE Minera A0Ak 100kVA 15/20kV(20) 410V Dyn11", id="tp0")
transformer0 = rlf.Transformer(id="transformer0", bus1=bus1, bus2=bus2, parameters=tp0, tap=1.0)
ground.connect(bus=bus2, phase="n")
@@ -120,11 +120,11 @@ def generate_all_element_network() -> None:
id=lp1_tmp.id,
z_line=lp1_tmp.z_line,
y_shunt=None, # <---- No shunt
- max_current=lp1_tmp.max_current,
+ ampacities=lp1_tmp.ampacities,
line_type=lp1_tmp.line_type,
- conductor_type=lp1_tmp.conductor_type,
- insulator_type=lp1_tmp.insulator_type,
- section=lp1_tmp.section,
+ materials=lp1_tmp.materials,
+ insulators=lp1_tmp.insulators,
+ sections=lp1_tmp.sections,
)
line1 = rlf.Line(id="line1", bus1=bus3, bus2=bus4, parameters=lp1, length=rlf.Q_(100, "m"))
diff --git a/scripts/generate_transformer_parameters_catalogue.py b/scripts/generate_transformer_parameters_catalogue.py
index ea1b4ba7..844589ef 100644
--- a/scripts/generate_transformer_parameters_catalogue.py
+++ b/scripts/generate_transformer_parameters_catalogue.py
@@ -23,14 +23,14 @@
destination_path.mkdir(exist_ok=True, parents=True)
# Get parameters
- uhv = Q_(df.at[idx, "uhv"], "V") # Phase-to-phase nominal voltages of the high voltages side
- ulv = Q_(df.at[idx, "ulv"], "V") # Phase-to-phase nominal voltages of the low voltages side
+ uhv = Q_(df.at[idx, "uhv"], "V") # Phase-to-phase nominal voltages of the primary side
+ ulv = Q_(df.at[idx, "ulv"], "V") # Phase-to-phase nominal voltages of the secondary side
sn = Q_(df.at[idx, "sn"], "VA") # Nominal power
i0 = Q_(np.round(df.at[idx, "i0"], decimals=3), "") # Current during open-circuit test
p0 = Q_(df.at[idx, "p0"], "W") # Losses during open-circuit test
psc = Q_(df.at[idx, "psc"], "W") # Losses during short-circuit test
vsc = Q_(df.at[idx, "vsc"], "") # Voltages on LV side during short-circuit test
- type = df.at[idx, "type"]
+ vg = df.at[idx, "vg"]
# Check the canonical name
sn_kva = int(sn.m_as("kVA"))
@@ -38,7 +38,7 @@
# Generate transformer parameters
tp = TransformerParameters.from_open_and_short_circuit_tests(
- id=id, type=type, uhv=uhv, ulv=ulv, sn=sn, p0=p0, i0=i0, psc=psc, vsc=vsc
+ id=id, vg=vg, uhv=uhv, ulv=ulv, sn=sn, p0=p0, i0=i0, psc=psc, vsc=vsc
)
assert tp.z2 is not None, id
assert tp.ym is not None, id
diff --git a/scripts/plot_network_catalogue.py b/scripts/plot_network_catalogue.py
index c5dcd831..79411110 100644
--- a/scripts/plot_network_catalogue.py
+++ b/scripts/plot_network_catalogue.py
@@ -72,8 +72,8 @@ def lines_highlight_function(feature):
lines_tooltip = folium.GeoJsonTooltip(
- fields=["id", "bus1_id", "bus2_id", "parameters_id"],
- aliases=["Id:", "Bus1:", "Bus2:", "Parameters:"],
+ fields=["id", "phases", "bus1_id", "bus2_id", "parameters_id", "length"],
+ aliases=["Id:", "Phases:", "Bus1:", "Bus2:", "Parameters:", "Length (km):"],
localize=True,
sticky=False,
labels=True,
@@ -222,5 +222,8 @@ def prettify_network_name(name: str) -> str:
).add_to(m)
folium.LayerControl().add_to(m)
+ # Hide the ReadTheDoc flyout in the Catalogue.html file
+ m.get_root().header.add_child(Element(""))
+
# Save the map
m.save(outfile=OUTPUT_DIR / "Catalogue.html", title=None)
diff --git a/scripts/update_catalogue_networks.py b/scripts/update_catalogue_networks.py
index 91e6c344..e9176fdd 100644
--- a/scripts/update_catalogue_networks.py
+++ b/scripts/update_catalogue_networks.py
@@ -10,9 +10,9 @@
import roseau.load_flow as rlf
PHASES = {"MV": "abc", "LV": "abcn"}
-U_N = {"MV": 20_000, "LV": 230}
-U_MAX = {"MV": int(20_000 * 1.05), "LV": int(230 * 1.1)}
-U_MIN = {"MV": int(20_000 * 0.95), "LV": int(230 * 0.9)}
+U_N = {"MV": 20_000, "LV": 400}
+U_MAX = {"MV": 1.05, "LV": 1.1}
+U_MIN = {"MV": 0.95, "LV": 0.9}
df = rlf.ElectricalNetwork.get_catalogue()
@@ -64,8 +64,9 @@
id=bus_id,
phases=PHASES[bus_type],
geometry=bus.geometry,
- min_voltage=U_MIN[bus_type],
- max_voltage=U_MAX[bus_type],
+ nominal_voltage=U_N[bus_type],
+ min_voltage_level=U_MIN[bus_type],
+ max_voltage_level=U_MAX[bus_type],
)
new_buses[bus_id] = new_bus
assert feeder_bus_id is not None
@@ -100,11 +101,11 @@
z_line=line.parameters.z_line,
y_shunt=line.parameters.y_shunt,
# Add missing data from the IEC catalogue
- max_current=iec_params.max_current,
+ ampacities=iec_params.ampacities,
line_type=iec_params.line_type,
- conductor_type=iec_params.conductor_type,
- insulator_type=iec_params.insulator_type,
- section=iec_params.section,
+ materials=iec_params.materials,
+ insulators=iec_params.insulators,
+ sections=iec_params.sections,
)
new_line = rlf.Line(
id=line_id,
@@ -134,12 +135,14 @@
tap=transformer.tap,
phases1=transformer.phases1,
phases2=transformer.phases2,
+ max_loading=1, # Since v0.11.0
geometry=transformer.geometry,
)
assert isinstance(transformer.parameters.id, str), repr(transformer.parameters.id)
m = re.match(pattern=r"^.*_(\d+)kVA$", string=transformer.parameters.id)
assert m, transformer.parameters.id
- transformer.parameters.max_power = int(m.group(1)) * 1_000
+ # Since v0.11.0, this does not work. Please use max_loading
+ # transformer.parameters.max_power = int(m.group(1)) * 1_000
assert new_transformer.geometry == transformer.geometry
new_transformers[transformer_id] = new_transformer
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 00000000..46245b2f
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,1602 @@
+version = 1
+requires-python = ">=3.10"
+resolution-markers = [
+ "python_full_version < '3.11'",
+ "python_full_version == '3.11.*'",
+ "python_full_version >= '3.12'",
+]
+
+[[package]]
+name = "alabaster"
+version = "1.0.0"
+source = { registry = "https://pypi.org/simple" }
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+
+[[package]]
+name = "astroid"
+version = "3.3.5"
+source = { registry = "https://pypi.org/simple" }
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+ { name = "typing-extensions", marker = "python_full_version < '3.11'" },
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