Saving convergence results with timeseries simulations

[algancedo]

Hi,

I would like to save the results of a time series simulation in pandapower. I am able to save the results data of tables like res_bus, res_line, etc. However, I would also like to save data regarding the success of the simulation, such as net.converged or some data from net._ppc like residuals, iterations, and mismatch. I am not sure if there are other ways to obtain variables related to the success of the simulation, like the ones mentioned above.

Here is what I am currently doing:

# Code
time_steps = list(range(0, 10))
load = pd.read_csv(root + os.path.sep + 'inputs' + os.path.sep + name, sep=';')
ds = ts.DFData(load)
load_p = ctrl.ConstControl(net, element='load', element_index=net.load.index, variable='p_mw', data_source=ds, profile_name= 
               [f'p_mw_{i}' for i in range(0, len(net.load))])
load_q = ctrl.ConstControl(net, element='load', element_index=net.load.index, variable='q_mvar', data_source=ds, profile_name= 
               [f'q_mvar_{i}' for i in range(0, len(net.load))])
ow = ts.OutputWriter(net, output_path=root + os.path.sep + 'res', output_file_type=".csv")

tables = ['res_bus', 'res_ext_grid', 'res_line', 'res_load', 'res_trafo', 'res_trafo3w']
for tt in tables:
    for col in net[tt].columns:
        ow.log_variable(tt, col)

ts.run_timeseries(net, time_steps=time_steps, output_writer=ow)

Thanks in advance