pypowsybl.network.Network.get_linear_shunt_compensator_sections#
- Network.get_linear_shunt_compensator_sections(all_attributes=False, attributes=None, **kwargs)[source]#
Get a dataframe of shunt compensators sections for 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, depending on the parameters, will include the following columns:
g_per_section: the conductance per section in S
b_per_section: the susceptance per section in S
max_section_count: the maximum number of sections
This dataframe is indexed by the shunt compensator ID.
- Returns:
A dataframe of linear models of shunt compensators.
- Parameters:
- Return type: