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tlpower.m
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function tldat=tlpower(fname)
% tesla powerwall gateway teslogger data evaluation
% with gnu octave
%
% Usage Examples:
% tlpower('aggregates_2018-05-29.json.gz');
%
% dd=dir('aggregates_2018*.json.gz');
% for i=1:length(dd), tlpower(dd(i).name); close all ; end
%
% tlpower(); % fetch and display ongoing log
%
% Background:
% - some stuff is still hardcoded yet
% - need to create symlinks to tlpower.sh in ~/bin or /usr/local/bin
% - ssh-copy-id rapk # server access without password dialogue
% - raw .gz data will now be collected in ./data0 subdirectory.
%
% Author: A. Merz, 2018, GPL
logsrv='192.168.2.6';
user='amerz';
tlpathsrv='/home/amerz/office/projects/solar/tesla_solaredge/log'
tlpathloc='/home/amerz/office/projects/solar/tesla_solaredge/log'
if ~exist(tlpathloc,'dir')
tlpathloc='.'
end
tlpath0=[tlpathloc '/data0']; % raw data goes here
tlpath1=[tlpathloc '/data1']; % dat data goes here
tlpath9=[tlpathloc '/data9']; % result plots go here
if ~exist('fname','var')
fname='';
end
fname0='';
tldat=[];
% create output directories dataN, if they do not exist
if ~exist(tlpath0,'dir')
[status,msg,msgid]=mkdir(tlpath0);
if status ~= 1
error(msg);
return;
end
end
if ~exist(tlpath1,'dir')
[status,msg,msgid]=mkdir(tlpath1);
if status ~= 1
error(msg);
return;
end
end
if ~exist(tlpath9,'dir')
[status,msg,msgid]=mkdir(tlpath9);
if status ~= 1
error(msg);
return;
end
end
% set default names, if no argument was provided
if isempty(fname)
fname='teslog.json';
fname='aggregates.json';
dname=regexprep(fname,'\.json','\.dat'); % remove this to trigger rebuild
if 1
% old procedure: fetch bulky actual json file
cmd=sprintf('scp -p %s@%s:%s/aggregates.json %s ; rm -f %s', user, logsrv, tlpathsrv, fname, dname)
[status,output]=system( cmd )
else
% new procedure: differential fetch of dat file
% TODO: auslagern in shell skript tlpower --delta
if exist(dname,'file')
% check if .dat file is from today, if not delete it.
% else request and add only the last missing part.
% TODO
end
if ~exist(dname,'file')
% remote call converter shell script to generate .dat file on server
% unfortunately, this is way slower than copying the json file over the net
cmd1=sprintf('cd %s ; ', tlpathsrv)
cmd2=sprintf('%s/tlpower.sh %s ; ', tlpathsrv, fname)
cmd =sprintf('ssh %s@%s "%s %s"', user, logsrv, cmd1, cmd2)
[status,output]=system( cmd );
cmd=sprintf('scp -p %s@%s:%s/%s .', user, logsrv, tlpathsrv, dname)
[status,output]=system( cmd );
end
end
else
% retrieve older raw data from local directory or from server
fname0=[tlpath0 '/' fname];
if ~exist(fname0,'file')
if ~exist(fname,'file')
% try to fetch it from the logger server
cmd=sprintf('scp -p %s@%s:%s/%s .', user, logsrv, tlpathsrv, fname)
[status,output]=system( cmd )
end
else
[status,msg,msgid] = movefile (fname0, '.')
end
end
mycolororder = [0.4 0.3 0.0; 0.9 0.0 0.0; 0.9 0.4 0.0; 0.8 0.8 0.0; 0.1 0.8 0.0; 0.0 0.1 0.9; 0.5 0.0 0.6; 0.4 0.4 0.4; 0.5 0.8 0.8 ; 0 0 0 ];
set(0, 'defaultAxesColorOrder', mycolororder);
set(0, 'defaultLineLineWidth', 1.5);
gname=regexprep(fname,'\.json.*',''); % generic name
dname=[gname '.dat'];
dname1=[tlpath1 '/' dname];
% retrieve previously processed data from local directory or re-process it
if ~exist(dname1,'file')
if ~exist(dname,'file')
% call converter shell script to generate .dat file
cmd=sprintf('%s/tlpower.sh %s', tlpathloc, fname)
[status,output]=system( cmd );
% Matlab does not like the "#"
if ~exist('OCTAVE_VERSION','builtin')
cmd=sprintf('mv %s %s.hash ; cat %s.hash | tr ''#'' ''%%'' > %s', dname, dname, dname, dname)
[status,output]=system( cmd );
end
end
else
[status,msg,msgid] = movefile (dname1, '.');
end
% load solar collector log data
try
ee=load(dname);
catch
warning( sprintf("failed to load %s - skipped\n", dname));
return;
end
% extract time info
tY=ee(:,1); % Day
tM=ee(:,2); % Month
tD=ee(:,3); % Year
th=ee(:,4); % hour
tm=ee(:,5); % minute
ts=ee(:,6); % seconds
t=th+tm/60+ts/3600;
days = datenum (ee(:,1:6));
%dv=datevec(days);
date1=sprintf('%4d-%02d-%02d', tY(1), tM(1), tD(1));
date2=sprintf('%4d-%02d-%02d', tY(end), tM(end), tD(end));
keys={'year', 'month', 'day', 'hour', 'min', 'sec', 'site_instant_power', 'site_frequency', 'site_energy_exported', 'site_energy_imported', 'battery_instant_power', 'battery_frequency', 'battery_energy_exported', 'battery_energy_imported', 'load_instant_power', 'load_frequency', 'load_energy_exported', 'load_energy_imported', 'solar_instant_power', 'solar_frequency', 'solar_energy_exported', 'solar_energy_imported', 'global_percentage'};
ienergy = find( cellfun(@isempty, regexp (keys, 'energy')) == 0);
ienergyE = find( cellfun(@isempty, regexp (keys, 'energy.*export')) == 0);
ienergyI = find( cellfun(@isempty, regexp (keys, 'energy.*import')) == 0);
ipower = find( cellfun(@isempty, regexp (keys, 'power' )) == 0);
ifreq = find( cellfun(@isempty, regexp (keys, 'frequency')) == 0);
ibattpc = find( cellfun(@isempty, regexp (keys, 'percentage')) == 0);
%---------------------
% plot instant power
%---------------------
portrait=''; % Matlab does not know this print option
if exist('OCTAVE_VERSION','builtin')
portrait='-portrait';
end
if 1
ipower=ipower(1:4); % 3:4 select only solar and load power
figure
plot(t, ee(:,ipower)/1e3); grid on
%plot(days, ee(:,ipower)/1e3); grid on
%datetick;
axis("tight"); ylim([-8 8]);
tt=title(sprintf('Power %s', gname), 'Interpreter','none' );
xlabel('t / h'); ylabel('p / kW');
ll=legend(keys{ipower}); set(ll,'Interpreter','none');
set(gca,'ColorOrder', mycolororder );
tx1=text(0, -0.08, sprintf('%s', date1), 'Units', 'normalized', 'FontSize', 8);
tx2=text(0.9,-0.08, sprintf('%s', date2), 'Units', 'normalized', 'FontSize', 8);
print( [ gname '_instant_power.pdf'], '-dpdf', portrait);
end
%---------------------------------
% plot energy
%---------------------------------
if 1
eecum=ee(:,ienergy);
eesum=ee(:,ienergyE)-ee(:,ienergyI); % export-import
eeday=ee(:,ienergy) - ones(size(ee,1),1)*ee(1,ienergy);
figure
plot(t, eeday/1e3); grid on
tt=title(sprintf('Energy %s', gname), 'Interpreter','none' );
xlabel('t / h'); ylabel('E / kWh');
axis("tight"); %ylim([-2 50]);
ll=legend(keys{ienergy},'location','northwest'); set(ll,'Interpreter','none');
set(gca,'colororder', mycolororder );
tx1=text(0, -0.08, sprintf('%s', date1), 'Units', 'normalized', 'FontSize', 8);
tx2=text(0.9,-0.08, sprintf('%s', date2), 'Units', 'normalized', 'FontSize', 8);
print( [ gname '_energy.pdf'], '-dpdf', portrait);
end
%---------------------------------
% plot short-term averaged power
%---------------------------------
% we need to evaluate more precise time tags
if 0
ienerg=ienergy([5 6 7]); % select only solar and load power
dE=diff(ee(:,ienerg),1,1);
sz=size(dE)
dt=diff(3600*t);
idtnegative=find(dt<=0);
dt(idtnegative)=dt(idtnegative)+24*3600;
pp=dE./(dt*ones(1,sz(2)));
tavg=mean(diff(t))*3600;
figure
plot(t(2:end), pp); grid on
tt=title(sprintf('%1.0fs avged Power %s',tavg, gname), 'Interpreter','none' );
xlabel('t / h'); ylabel('p / W');
ll=legend(keys{ienerg}); set(ll,'Interpreter','none');
set(gca,'ColorOrder', mycolororder );
print( [ gname '_stavg_power.pdf'], '-dpdf', portrait);
end
%---------------------------------
% plot frequency
%---------------------------------
if 0
ifre=ifreq;
%ifre=ifreq([ 1 3 4 ]); % select not all
freq=ee(:,ifre);
if 0
% average/filter the poorly quantized freq data
Nfilt=31;
%h=ones(Nfilt,1); % Rechteckfenster
h=hann(Nfilt); % raised-cosine window
h=h/sum(h); % DC amplitude normalize
[freqf,sf]=filter(h,1,fliplr(freq(1:Nfilt)));
[freqf,sf]=filter(h,1,freq, sf);
else
freqf=freq;
end
figure
plot(t, freqf); grid on
tt=title(sprintf('Frequency %s', gname), 'Interpreter','none' );
xlabel('t / h'); ylabel('f / Hz');
axis("tight"); ylim(50+[-0.2 0.2]);
ll=legend(keys{ifre},'location','northwest'); set(ll,'Interpreter','none');
set(gca,'colororder', mycolororder );
print( [ gname '_freq.pdf'], '-dpdf', portrait);
end
%---------------------------------
% plot battery charging level
%---------------------------------
if 1 && size(ee,2) >= ibattpc
battperc = ee(:,ibattpc); % quantization step 0.0074189/100*13.5e3 = 1Wh
capacity_kWh = 13; % Tesla powerwall 2 capacity
battkWh = battperc*capacity_kWh;
figure
plot(t, battperc); grid on
tt=title(sprintf('battery charging state, %s', gname), 'Interpreter','none' );
xlabel('t / h'); ylabel('c / percent');
tx1=text(0, -0.08, sprintf('%s', date1), 'Units', 'normalized', 'FontSize', 8);
tx2=text(0.9,-0.08, sprintf('%s', date2), 'Units', 'normalized', 'FontSize', 8);
axis("tight");
%ylim([0 100]);
set(gca,'colororder', mycolororder );
print( [ gname '_batt.pdf'], '-dpdf', portrait);
end
%---------------------
% result struct
%---------------------
tldat.name=fname;
tldat.keys=keys;
tldat.data=ee;
% FIXME: filename patterns hard-coded. Avoid moving of aggregates.dat file
try [status,msg,msgid]=movefile('aggregates_*.gz', tlpath0); catch; end
try [status,msg,msgid]=movefile('aggregates_*.dat',tlpath1); catch; end
try [status,msg,msgid]=movefile('aggregates_*.pdf',tlpath9); catch; end
return
t_dayN= (1:length(W_kWh))/(24*6) -1 + 179; % 28.06.2011= day number 2*31+2*30+28+28
% short term average power within each 10min interval
%p_kW = diff(W_kWh)*3600/600;
t_dayn= t_dayN(2:length(t_dayN));
% plot the whole stuff or just a certain time range
a=round(t_dayn(1));
b=round(t_dayn(length(t_dayn)));
%a=221
%b=227
range=find( t_dayn >= a & t_dayn < b );
plot(t_dayn(range), p_kW(range));
grid
title('10min short term average solar power vs time');
xlabel('t / day of year');
ylabel('P / kW');
sdate=sprintf(" %4d-%02d-%02d", tY(range(1)), tM(range(1)), tD(range(1)));
text(t_dayn(range(1)),4.2,sdate,"color","r");
fname=sprintf("kwh_%03d_%03d", a, b);
print( [fname '.pdf'], '-dpdf');
print( [fname '.jpg'], '-djpeg');