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Commit 48c9b67a authored by Jan Dinkelbach's avatar Jan Dinkelbach Committed by Markus Mirz
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Fix CI

parent 37a5aba0
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Examples/Notebooks/Circuits/EMT_Slack_PiLine_PQLoad_with_PF_Init.ipynb
View file @ 48c9b67a
%% Cell type:markdown id: tags:
# DP Simulation of topology with slack, line and PQ load
%% Cell type:code id: tags:
``` python
%%bash
TOP=${TOP:-$(git rev-parse --show-toplevel)}
PATH=${TOP}/build/Examples/Cxx
EMT_Slack_PiLine_PQLoad_with_PF_Init
```
%% Cell type:code id: tags:
``` python
from villas.dataprocessing.readtools import *
from villas.dataprocessing.timeseries import *
import matplotlib.pyplot as plt
import re
%matplotlib widget
# %matplotlib widget
```
%% Cell type:markdown id: tags:
## PF results
%% Cell type:code id: tags:
``` python
modelName = 'EMT_Slack_PiLine_PQLoad_with_PF_Init_PF'
path = 'logs/' + modelName + '/'
dpsim_result_file = path + modelName + '.csv'
ts_dpsim_pf = read_timeseries_csv(dpsim_result_file)
```
%% Cell type:markdown id: tags:
## EMT results
%% Cell type:code id: tags:
``` python
modelName = 'EMT_Slack_PiLine_PQLoad_with_PF_Init_EMT'
path = 'logs/' + modelName + '/'
dpsim_result_file = path + modelName + '.csv'
PEAK1PH_TO_RMS3PH = np.sqrt(3.0/2.0)
ts_dpsim = read_timeseries_csv(dpsim_result_file)
```
%% Cell type:code id: tags:
``` python
plt.figure(figsize=(12,6))
for ts_name, ts_obj in ts_dpsim.items():
if '_0' in ts_name:
plt.plot(ts_obj.time, PEAK1PH_TO_RMS3PH*ts_obj.values, label=ts_name)
for ts_name, ts_obj in ts_dpsim_pf.items():
plt.plot(ts_obj.time, ts_obj.abs().values, label=ts_name+'_pf', linestyle=':')
plt.legend()
plt.show()
```
%% Cell type:code id: tags:
``` python
```
......
Examples/Notebooks/Circuits/EMT_Slack_PiLine_VSI_with_PF_Init.ipynb
View file @ 48c9b67a
%% Cell type:markdown id: tags:
# DP Simulation of topology with slack, line and PQ load
%% Cell type:code id: tags:
``` python
%%bash
TOP=${TOP:-$(git rev-parse --show-toplevel)}
PATH=${TOP}/build/Examples/Cxx
EMT_Slack_PiLine_VSI_with_PF_Init
```
%% Cell type:code id: tags:
``` python
from villas.dataprocessing.readtools import *
from villas.dataprocessing.timeseries import *
import matplotlib.pyplot as plt
import re
%matplotlib widget
# %matplotlib widget
```
%% Cell type:markdown id: tags:
## PF results
%% Cell type:code id: tags:
``` python
modelName = 'EMT_Slack_PiLine_VSI_with_PF_Init_PF'
path = 'logs/' + modelName + '/'
dpsim_result_file = path + modelName + '.csv'
ts_dpsim_pf = read_timeseries_csv(dpsim_result_file)
```
%% Cell type:markdown id: tags:
## EMT results
%% Cell type:code id: tags:
``` python
modelName = 'EMT_Slack_PiLine_VSI_with_PF_Init_EMT'
path = 'logs/' + modelName + '/'
dpsim_result_file = path + modelName + '.csv'
PEAK1PH_TO_RMS3PH = np.sqrt(3.0/2.0)
ts_dpsim = read_timeseries_csv(dpsim_result_file)
```
%% Cell type:code id: tags:
``` python
plt.figure(figsize=(12,6))
for ts_name, ts_obj in ts_dpsim.items():
if '_0' in ts_name:
plt.plot(ts_obj.time, PEAK1PH_TO_RMS3PH*ts_obj.values, label=ts_name)
for ts_name, ts_obj in ts_dpsim_pf.items():
plt.plot(ts_obj.time, ts_obj.abs().values, label=ts_name+'_pf', linestyle=':')
plt.legend()
plt.show()
```
%% Cell type:code id: tags:
``` python
```
......
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