pypsa.statistics.StatisticsAccessor.curtailment

pypsa.statistics.StatisticsAccessor.curtailment#

StatisticsAccessor.curtailment(comps: Sequence[str] | str | None = None, aggregate_time: str | bool = 'sum', aggregate_groups: Callable | str | bool = 'sum', groupby: Callable | None = None, at_port: Sequence[str] | str | bool = False, bus_carrier: Sequence[str] | str | None = None, nice_names: bool | None = None) DataFrame#

Calculate the curtailment of components in the network in MWh.

The calculation only considers assets with a p_max_pu time series, which is used to quantify the available power potential.

If bus_carrier is given, only the assets are considered which are connected to buses with carrier bus_carrier.

For information on the list of arguments, see the docs in Network.statistics or pypsa.statistics.StatisticsAccessor.

Parameters:

aggregate_time (str, bool, optional) – Type of aggregation when aggregating time series. Note that for {‘mean’, ‘sum’} the time series are aggregated to MWh using snapshot weightings. With False the time series is given in MW. Defaults to ‘sum’.