time series simulation with p_mw and q_mvar per bus and time step?

[chrisnexxtlab]

I have a question related to time series simulation.

I am building controllers for loads, sgen and storage like this:

for n in range(0, len(pod_array)):
     pod = pod_array[n:n+1].pop() 
     const_load = pandapower.control.ConstControl(net, element=‘load', element_index=net.load.index, variable='p_mw',  data_source=ds, profile_name=pod) 

So far so good. But I don’t want to simulate a network having purely resistive loads. How can I add “_qmvar” values for the same network per bus and time step?

Is that a functionality that is not yet provided with ts simulation by pp 2.2.2 or did I miss something essential?

Thank you very much in advance!

[FlorianShepherd]

You just have to add a second const_controller, wie a second DataFrame including the q_mvar values:

for n in range(0, len(pod_array)):
     pod = pod_array[n:n+1].pop() 
     const_load = pandapower.control.ConstControl(net, element=‘load', element_index=net.load.index, variable='p_mw',  data_source=ds, profile_name=pod) 
     const_load = pandapower.control.ConstControl(net, element=‘load', element_index=net.load.index, variable='q_mvar',  data_source=ds_qmvar, profile_name=pod) 

[chrisnexxtlab]

Thank you @FlorianShepherd. Indeed straight forward, working nicely.

[FlorianShepherd]

Great :+1: