pypowsybl.network.Network.get_non_linear_shunt_compensator_sections#
- Network.get_non_linear_shunt_compensator_sections(all_attributes=False, attributes=None, **kwargs)[source]#
Get a dataframe of shunt compensators sections for non linear model.
- Parameters:
all_attributes (bool) – flag for including all attributes in the dataframe, default is false
attributes (List[str] | None) – attributes to include in the dataframe. The 2 parameters are mutually exclusive. If no parameter is specified, the dataframe will include the default attributes.
kwargs (_SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]) – the data to be selected, as named arguments.
- Return type:
Notes
The resulting dataframe will have the following columns:
g: the accumulated conductance in S if the section and all the previous ones are activated.
b: the accumulated susceptance in S if the section and all the previous ones are activated
This dataframe is multi-indexed, by the tuple (id of shunt, section number).
- Returns:
A dataframe of non linear model shunt compensators sections.
- Parameters:
- Return type: