Execução de fluxo de carga e criação de data-frame com valores absolutos aplicados para cada passo de tempo

power-flow-and-dataframe-creation-with-absolute-values.py

# In this case the p_mw load parameter will be stored for all time steps

# Another data can be stored too, because the power flow is been runned 
# for every time step

absolute_values_dict = sb.get_absolute_values(net, profiles_instead_of_study_cases=True)

time_steps = range(96)
# run the time series and store load p_mw parameter
# into the time_results DataFrame
time_results = pd.DataFrame([],
                            index = time_steps,
                            columns = net.load.name[:]) # columns = net.load.index

for time_step in tqdm(time_steps):
    apply_absolute_values(net, absolute_values_dict, time_step)
    pp.runpp(net)
    time_results.loc[time_step, :] = net.res_load.p_mw.values