edisgo.opf.results.opf_result_class.GridSlacks

class edisgo.opf.results.opf_result_class.GridSlacks

Container for the grid slack variables of the optimal power flow.

Slack variables absorb otherwise infeasible situations so that the optimisation stays solvable; non-zero values flag where and by how much a hard requirement had to be relaxed. Each attribute is a pandas.DataFrame with the optimisation time steps as index.

gen_d_crt

Curtailment of dispatchable generators in MW.

Type:

pandas.DataFrame

gen_nd_crt

Curtailment of non-dispatchable (fluctuating) generators in MW.

Type:

pandas.DataFrame

load_shedding

Shed conventional load in MW.

Type:

pandas.DataFrame

cp_load_shedding

Shed charging-point (electric-vehicle) demand in MW.

Type:

pandas.DataFrame

hp_load_shedding

Shed heat-pump demand in MW.

Type:

pandas.DataFrame

hp_operation_slack

Slack on the heat-pump operation constraints in MW.

Type:

pandas.DataFrame

gen_d_crt
gen_nd_crt
load_shedding
cp_load_shedding
hp_load_shedding
hp_operation_slack