Plausible values for transformer's rated power

[rte-france]

Plausible values for transformer's rated power

[jhmenke]

A workaround is the following:

pp.runpp(self.grid)
self.grid.trafo["max_loading_percent"] = 0.95 * self.grid.res_trafo.loading_percent.values / self.grid.res_trafo.i_hv_ka.values * self.grid.trafo.max_i_ka.values

The maximum loading percent is scaled according to an initial power flow. No trafo sn_mva values need to be adjusted then.

[BDonnot]

Hello Jan Hendrick :-)

I didn't want to modify too much the grid initially loaded, that is why the thermal limit are provided in an external vector, outside of the pandapower grid. You can use the:
backend.thermal_limit
or
env._thermal_limit

Transformers are considered as powerline, because, from a ML perspective, trafo pass the "Duck Test": they have flows like a powerline, limits (usually in current) like a powerline, 2 ends like a powerline and can be disconnected like powerlines. So from the perspective of a user of grid2op, trafo are powerlines.

However, as you noted, changing SN_MVA in transformer will change their physical properties (the one that are used in the ppc / ppci). So better not touch pandapower in this case, and use a check in post processing to see if the flow on the transformer is ok or not :-)

Benjamin