def opf(self, start_, end_, remote=False, batteries_energy_0=None):
"""
Run a power flow for every circuit
:param start_: start index
:param end_: end index
:param remote: is this function being called from the time series?
:param batteries_energy_0: initial state of the batteries, if None the default values are taken
:return: OptimalPowerFlowResults object
"""
if not remote:
self.progress_signal.emit(0.0)
self.progress_text.emit(
'Running all in an external solver, this may take a while...')
if self.options.solver == SolverType.DC_OPF:
# DC optimal power flow
problem = OpfDcTimeSeries(numerical_circuit=self.numerical_circuit,
start_idx=start_,
end_idx=end_,
solver=self.options.mip_solver,
batteries_energy_0=batteries_energy_0)
elif self.options.solver == SolverType.AC_OPF:
# AC optimal power flow
problem = OpfAcTimeSeries(numerical_circuit=self.numerical_circuit,
start_idx=start_,
end_idx=end_,
solver=self.options.mip_solver,
batteries_energy_0=batteries_energy_0)
else:
self.logger.append('Solver not supported in this mode: ' +
str(self.options.solver))
return
# solve the problem
status = problem.solve()
# print("Status:", status)
a = start_
b = end_
self.results.voltage[a:b, :] = problem.get_voltage()
self.results.load_shedding[a:b, :] = problem.get_load_shedding()
self.results.battery_power[a:b, :] = problem.get_battery_power()
self.results.battery_energy[a:b, :] = problem.get_battery_energy()
self.results.controlled_generator_power[
a:b, :] = problem.get_generator_power()
self.results.Sbranch[a:b, :] = problem.get_branch_power()
self.results.overloads[a:b, :] = problem.get_overloads()
self.results.loading[a:b, :] = problem.get_loading()
self.results.shadow_prices[a:b, :] = problem.get_shadow_prices()
return self.results
def opf(self, start_, end_, remote=False):
"""
Run a power flow for every circuit
@return: OptimalPowerFlowResults object
"""
if not remote:
self.progress_signal.emit(0.0)
self.progress_text.emit('Running all in an external solver, this may take a while...')
if self.options.solver == SolverType.DC_OPF:
# DC optimal power flow
problem = OpfDcTimeSeries(numerical_circuit=self.numerical_circuit,
start_idx=start_, end_idx=end_)
elif self.options.solver == SolverType.AC_OPF:
# DC optimal power flow
problem = OpfAcTimeSeries(numerical_circuit=self.numerical_circuit,
start_idx=start_, end_idx=end_)
else:
self.logger.append('Solver not supported in this mode: ' + str(self.options.solver))
return
status = problem.solve()
print("Status:", status)
a = start_
b = end_
self.results.voltage[a:b, :] = problem.get_voltage()
self.results.load_shedding[a:b, :] = problem.get_load_shedding()
self.results.battery_power[a:b, :] = problem.get_battery_power()
self.results.battery_energy[a:b, :] = problem.get_battery_energy()
self.results.controlled_generator_power[a:b, :] = problem.get_generator_power()
self.results.Sbranch[a:b, :] = problem.get_branch_power()
self.results.overloads[a:b, :] = problem.get_overloads()
self.results.loading[a:b, :] = problem.get_loading()
self.results.shadow_prices[a:b, :] = problem.get_shadow_prices()
return self.results