-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathlss2_periodic_controller_matlab_fmu.py
277 lines (213 loc) · 11.1 KB
/
lss2_periodic_controller_matlab_fmu.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
"""
A controller implementing a (too) simple coordinated voltage control algorithm.
"""
import collections
import mosaik_api
from itertools import count
import fmipp
import xml.etree.ElementTree as ETree
import os.path
META = {
'models': {
'LSS2PeriodicController': {
'public': True,
'params': ['vlow', 'vup', 'phase_shift', 'period'],
'attrs': ['u_line1', 'u_line2', 'u_line3', 'u_line4', 'u_line5', 'u_line6', 'u_line7', 'tap'],
},
},
}
class LSS2PeriodicController(mosaik_api.Simulator):
def __init__(self):
super().__init__(META)
self.data = collections.defaultdict(dict)
self._entities = {}
self.eid_counters = {}
self.period = {}
self.next_send_time = {}
self.controller_inputs = {}
self.input_names = [] # list of input variable names for the FMU
self.is_responsive = {} # controller state regarding dead time
self.wakeup_time = {} # time stamp until end of dead time
self.dead_time = 0 # dead time of controller
self.work_dir = None # directory of FMU
self.model_name = None # model name of FMU
self.instance_name = None # instance name of FMU
self.var_table = None # dict of FMU variables (input, output, parameters)
self.translation_table = None # help dict if variable names cannot be parsed properly in Python
self.logging_on = False # FMI++ parameter
self.time_diff_resolution = 1e-9 # FMI++ parameter
self.timeout = 0 # FMI++ parameter
self.interactive = False # FMI++ parameter
self.visible = False # FMI++ parameter
self.start_time = 0 # FMI++ parameter
self.stop_time = 0 # FMI++ parameter
self.stop_time_defined = False # FMI++ parameter
self.uri_to_extracted_fmu = None
self.sec_per_mt = 1 # Number of seconds of internaltime per mosaiktime
self.fmutimes = {} # Keeping track of each FMU's internal time
self.verbose = False
def init( self, sid, work_dir, model_name, instance_name, dead_time=0, start_time=0, stop_time=0,
logging_on = False, time_diff_resolution=1e-9, timeout=0, interactive=False, visible=False,
stop_time_defined=False, seconds_per_mosaik_timestep=1, var_table=None, translation_table=None,
verbose=False ):
self.dead_time = dead_time / seconds_per_mosaik_timestep
self.work_dir = work_dir
self.model_name = model_name
self.instance_name = instance_name
self.start_time = start_time
self.stop_time = stop_time
self.logging_on = logging_on
self.time_diff_resolution = time_diff_resolution # How close should two events be to be considered equal?
self.timeout = timeout
self.interactive = interactive
self.visible = visible
self.stop_time_defined = stop_time_defined
self.sec_per_mt = seconds_per_mosaik_timestep # Number of seconds of internaltime per mosaiktime (Default: 1, mosaiktime measured in seconds)
self.verbose = verbose
path_to_fmu = os.path.join(self.work_dir, self.model_name + '.fmu')
self.uri_to_extracted_fmu = fmipp.extractFMU(path_to_fmu, self.work_dir)
assert self.uri_to_extracted_fmu is not None
# If no variable table is given by user, parse the modelDescription.xml for a table -
# however, this will not work properly for some FMUs due to varying conventions.
xmlfile = os.path.join( self.work_dir, self.model_name, 'modelDescription.xml' )
if var_table is None:
self.var_table, self.translation_table = self.get_var_table( xmlfile )
else:
self.var_table = var_table
self.translation_table = translation_table
self.adjust_var_table()
return self.meta
def create(self, num, model, vlow=0.95, vup=1.05, phase_shift=0., period=60.):
counter = self.eid_counters.get(model, count())
# If negative, convert phase shift to equivalent positive value.
while phase_shift < 0.: phase_shift = phase_shift + period
entities = []
for i in range(num):
eid = '%s_%s' % (model, next(counter)) # entity ID
fmu = fmipp.FMUCoSimulationV1( self.uri_to_extracted_fmu, self.model_name,
self.logging_on, self.time_diff_resolution )
self._entities[eid] = fmu
self.period[eid] = period
self.next_send_time[eid] = phase_shift
self.controller_inputs[eid] = {}
status = self._entities[eid].instantiate( self.instance_name, self.timeout,
self.visible, self.interactive )
assert status == fmipp.fmiOK
status = self._entities[eid].initialize( self.start_time*self.sec_per_mt,
self.stop_time_defined, self.stop_time*self.sec_per_mt )
assert status == fmipp.fmiOK
self.data[eid] = { 'tap': 0 }
# All simulator attributes except the last ones (tap) are inputs to the FMU.
# Initialize all these inputs to 1.
self.input_names = META['models']['LSS2PeriodicController']['attrs'][:-1]
self.set_values( eid, { n: 1. for n in self.input_names }, 'input' )
# Set parameters vlow & vup.
self.set_values( eid, { 'vlow': vlow, 'vup': vup }, 'input' )
self.is_responsive[eid] = True
self.wakeup_time[eid] = None
# Handling tracking internal fmu times
self.fmutimes[eid] = self.start_time*self.sec_per_mt
entities.append( { 'eid': eid, 'type': model, 'rel': [] } )
return entities
def step(self, time, inputs):
# This is the internal time.
target_time = ( time + self.start_time )*self.sec_per_mt
for eid, fmu in self._entities.items():
status = fmu.doStep( self.fmutimes[eid], target_time - self.fmutimes[eid], True )
assert status == fmipp.fmiOK
self.fmutimes[eid] += target_time - self.fmutimes[eid]
for eid, edata in self.data.items():
input_data = inputs.get(eid, {})
controller_inputs = self.controller_inputs[eid]
for n in self.input_names:
[ ( _, u ) ] = input_data[n].items() if n in input_data else [ ( None, None ) ]
if u is not None:
controller_inputs[n] = u
if self.verbose:
print( '[CONTROLLER] input at time = {}: {} = {}'.format( target_time, n, u ) )
if True is self.is_responsive[eid]: # Controller is responsive.
if target_time == self.next_send_time[eid]:
new_tap = self.decide_on_tap(eid, controller_inputs)
edata['tap'] = new_tap
if self.verbose:
print( "[CONTROLLER] decided on tap {} at time {}".format( new_tap, time ) )
# Compute next send time.
self.next_send_time[eid] = self.next_send_time[eid] + self.period[eid]
# Enter dead time.
self.is_responsive[eid] = False
self.wakeup_time[eid] = time + self.dead_time
else:
edata['tap'] = None # No inputs --> no output.
else: # Controller is not responsive (dead time).
if time >= self.wakeup_time[eid]:
self.wakeup_time[eid] = None
self.is_responsive[eid] = True
# Compute next time for sending
return time + 1
def decide_on_tap( self, eid, inputs ):
self.set_values( eid, inputs, 'input' )
status = self._entities[eid].doStep( self.fmutimes[eid], 0, True )
assert status == fmipp.fmiOK
return self.get_value( eid, 'tap' )
def get_data(self, outputs):
data = {}
for eid, edata in self.data.items():
requests = outputs[eid]
mydata = {}
for attr in requests:
try:
mydata[attr] = edata[attr] if self.is_responsive[eid] is True else None
except KeyError:
raise RuntimeError("OLTC controller has no attribute {0}".format(attr))
data[eid] = mydata
return data
def get_var_table( self, filename ):
var_table = {}
translation_table = {}
base = ETree.parse(filename).getroot()
mvars = base.find('ModelVariables')
for var in mvars.findall('ScalarVariable'):
causality = var.get('causality')
name = var.get('name')
if causality in ['input', 'output', 'parameter']:
var_table.setdefault(causality, {})
translation_table.setdefault(causality, {})
# Variable names including '.' cannot be used in Python scripts - they get aliases with '_':
if '.' in name:
alt_name = name.replace('.', '_')
else:
alt_name = name
translation_table[causality][alt_name] = name
# Store variable type information:
specs = var.getchildren()
for spec in specs:
if spec.tag in ['Real', 'Integer', 'Boolean', 'String']:
var_table[causality][name] = spec.tag
continue
return var_table, translation_table
def adjust_var_table(self):
'''Helper function that adds missing keys to the var_table and its associated translation table.
Avoids errors due to faulty access later on.'''
self.var_table.setdefault('parameter', {})
self.var_table.setdefault('input', {})
self.var_table.setdefault('output', {})
self.translation_table.setdefault('parameter', {})
self.translation_table.setdefault('input', {})
self.translation_table.setdefault('output', {})
def set_values(self, eid, val_dict, var_type):
'''Helper function to set input variable and parameter values to a FMU instance'''
for alt_name, val in val_dict.items():
name = self.translation_table[var_type][alt_name]
# Obtain setter function according to specified var type (Real, Integer, etc.):
set_func = getattr(self._entities[eid], 'set' + self.var_table[var_type][name] + 'Value')
set_stat = set_func(name, val)
assert set_stat == fmipp.fmiOK
def get_value(self, eid, alt_attr):
'''Helper function to get output variable values from a FMU instance.'''
attr = self.translation_table['output'][alt_attr]
# Obtain getter function according to specified var type (Real, Integer, etc.):
get_func = getattr(self._entities[eid], 'get' + self.var_table['output'][attr] + 'Value')
val = get_func(attr)
return val
if __name__ == '__main__':
mosaik_api.start_simulation(LSS2PeriodicController())