Commit 029993e8 authored by Steffen Vogel's avatar Steffen Vogel 🎅🏼
Browse files

Merge branch 'master' of git.rwth-aachen.de:acs/public/simulation/data-processing

parents fad1d0f5 f92f812c
build
dist
# ignore results # ignore results
*.csv *.csv
*.mat *.mat
......
__all__ = ["readtools", "plottools", "timeseries"]
\ No newline at end of file
from dataprocessing.readtools import * from dataprocessing.readtools import *
from dataprocessing.timeseries import * from dataprocessing.timeseries import *
from dataprocessing.plottools import *
def get_node_voltage_phasors(dpsim_timeseries_list): def get_node_voltage_phasors(dpsim_timeseries_list):
"""Calculate voltage phasors of all nodes """Calculate voltage phasors of all nodes
...@@ -24,7 +25,7 @@ def get_node_emt_voltages(timeseries_list, freq): ...@@ -24,7 +25,7 @@ def get_node_emt_voltages(timeseries_list, freq):
""" """
voltages_list = {} voltages_list = {}
for name, ts in timeseries_list.items(): for name, ts in timeseries_list.items():
ts_emt = ts.dynphasor_shift_to_emt(ts.name, freq) ts_emt = ts.frequency_shift(ts.name, freq)
voltages_list[ts.name] = ts_emt voltages_list[ts.name] = ts_emt
return voltages_list return voltages_list
...@@ -100,7 +100,7 @@ def read_timeseries_simulink(filename, timeseries_names=None): ...@@ -100,7 +100,7 @@ def read_timeseries_simulink(filename, timeseries_names=None):
return timeseries_list return timeseries_list
def read_timeseries_dpsim(filename, timeseries_names=None): def read_timeseries_dpsim(filename, timeseries_names=None, print_status=True):
"""Reads complex time series data from DPsim log file. Real and """Reads complex time series data from DPsim log file. Real and
imaginary part are stored in one complex variable. imaginary part are stored in one complex variable.
:param filename: name of the csv file that has the data :param filename: name of the csv file that has the data
...@@ -122,38 +122,76 @@ def read_timeseries_dpsim(filename, timeseries_names=None): ...@@ -122,38 +122,76 @@ def read_timeseries_dpsim(filename, timeseries_names=None):
timestamps = pd_df.iloc[:, 0] timestamps = pd_df.iloc[:, 0]
# Find real and complex variable names # Find real and complex variable names
real_string = '.real' suffixes = [ ('_re', '_im'), ('.real', '.imag') ]
imaginary_string = '.imag'
for column in column_names: for column in column_names:
if real_string in column: is_complex = False
tmp = column.replace(real_string, '') for suffix in suffixes:
cmpl_result_columns.append(tmp) real_suffix = suffix[0]
#print("Found complex variable: " + tmp) imag_suffix = suffix[1]
elif not imaginary_string in column:
real_result_columns.append(column) if column.endswith(imag_suffix):
#print("Found real variable: " + column) is_complex = True
break # Ignore imag columns
if column.endswith(real_suffix):
is_complex = True
column_base = column.replace(real_suffix, '')
if column_base + imag_suffix not in column_names:
continue
cmpl_result_columns.append(column_base)
timeseries_list[column_base] = TimeSeries(column_base, timestamps,
np.vectorize(complex)(
pd_df[column_base + real_suffix],
pd_df[column_base + imag_suffix]
)
)
break
for column in real_result_columns: if is_complex:
timeseries_list[column] = TimeSeries(column, timestamps, pd_df[column]) continue
for column in cmpl_result_columns: real_result_columns.append(column)
try: timeseries_list[column] = TimeSeries(column, timestamps, pd_df[column])
timeseries_list[column] = TimeSeries(column, timestamps,
np.vectorize(complex)(
pd_df[column + real_string],
pd_df[column + imaginary_string]
)
)
except:
pass
else: else:
# Read in specified time series # Read in specified time series
print('cannot read specified columns yet') print('cannot read specified columns yet')
print('DPsim results real column names: ' + str(real_result_columns)) if print_status :
print('DPsim results complex column names: ' + str(cmpl_result_columns)) print('DPsim results real column names: ' + str(real_result_columns))
print('DPsim results variable number: ' + str(len(timeseries_list))) print('DPsim results complex column names: ' + str(cmpl_result_columns))
print('DPsim results length: ' + str(len(timestamps))) print('DPsim results variable number: ' + str(len(timeseries_list)))
print('DPsim results length: ' + str(len(timestamps)))
return timeseries_list return timeseries_list
def read_dpsim_log(log_path):
log_file = open(log_path, "r")
log_lines = [line for line in log_file]
log_file.close()
# Sectionize
log_sections = {'init':[], 'none':[], 'sysmat_stamp':[], 'sysmat_final':[], 'sourcevec_stamp':[], 'sourcevec_final':[], 'ludecomp':[]}
section = 'init'
for line_pos in range(len(log_lines)):
if re.search('DEBUG: Stamping .+ into system matrix:', log_lines[line_pos]):
section = 'sysmat_stamp'
elif re.search('INFO: System matrix:', log_lines[line_pos]):
section = 'sysmat_final'
elif re.search('DEBUG: Stamping .+ into source vector:', log_lines[line_pos]):
section = 'sourcevec_stamp'
elif re.search('INFO: Right side vector:', log_lines[line_pos]):
section = 'sourcevec_final'
elif re.search('INFO: LU decomposition:', log_lines[line_pos]):
section = 'ludecomp'
elif re.search('INFO: Number of network simulation nodes:', log_lines[line_pos]):
section = 'none'
elif re.search('INFO: Added .+ to simulation.', log_lines[line_pos]):
section = 'none'
elif re.search('INFO: Initial switch status:', log_lines[line_pos]):
section = 'none'
log_sections[section].append(line_pos)
return log_lines, log_sections
...@@ -37,6 +37,31 @@ class TimeSeries: ...@@ -37,6 +37,31 @@ class TimeSeries:
ts_phase = TimeSeries(name, self.time, phase_values) ts_phase = TimeSeries(name, self.time, phase_values)
return ts_phase return ts_phase
def phasor(self, name):
"""Calculate phasor of complex time series and return dict with abs and phase.
"""
ts_abs = ts.abs(ts.name + '_abs')
ts_phase = ts.phase(ts.name + '_phase')
ts_phasor = {}
ts_phasor['abs'] = ts_abs
ts_phasor['phase'] = ts_phase
return ts_phasor
@staticmethod
def frequency_shift_list(timeseries_list, freq):
"""Calculate shifted frequency results of all time series
:param timeseries_list: timeseries list retrieved from dpsim results
:param freq: frequency by which the timeseries should be shifted
:return: list of shifted time series
"""
result_list = {}
for name, ts in timeseries_list.items():
ts_emt = ts.frequency_shift(ts.name, freq)
result_list[ts.name] = ts_emt
return result_list
@staticmethod @staticmethod
def rmse(ts1, ts2): def rmse(ts1, ts2):
""" Calculate root mean square error between two time series """ Calculate root mean square error between two time series
...@@ -69,7 +94,7 @@ class TimeSeries: ...@@ -69,7 +94,7 @@ class TimeSeries:
ts_diff = TimeSeries(name, time, (interp_vals_ts2 - interp_vals_ts1)) ts_diff = TimeSeries(name, time, (interp_vals_ts2 - interp_vals_ts1))
return ts_diff return ts_diff
def dynphasor_shift_to_emt(self, name, freq): def frequency_shift(self, name, freq):
""" Shift dynamic phasor values to EMT by frequency freq. """ Shift dynamic phasor values to EMT by frequency freq.
Assumes the same time steps for both timeseries. Assumes the same time steps for both timeseries.
:param name: name of returned time series :param name: name of returned time series
......
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