pypowsybl.network.Network.get_areas#

Network.get_areas(all_attributes=False, attributes=None, **kwargs)[source]#

Get a dataframe of areas.

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.

Returns:

the areas dataframe

Return type:

DataFrame

See also

Notes

The resulting dataframe, depending on the parameters, will include the following columns:

  • area_type: the type of area (e.g. ControlArea, BiddingZone, …)

  • interchange_target: target active power interchange (MW)

  • interchange: total (AC + DC) active power interchange, in load sign convention (negative is export, positive is import) (MW)

  • ac_interchange: AC active power interchange, in load sign convention (negative is export, positive is import) (MW)

  • dc_interchange: DC active power interchange, in load sign convention (negative is export, positive is import) (MW)

  • fictitious (optional): True if the area is part of the model and not of the actual network

This dataframe is indexed on the area ID.

Examples

net = pp.network.create_eurostag_tutorial_example1_with_tie_lines_and_areas()
net.get_areas()

will output something like:

name

area_type

interchange_target

interchange

ac_interchange

dc_interchange

id

ControlArea_A

Control Area A

ControlArea

-602.6

-602.948693

-602.948693

0.0

ControlArea_B

Control Area B

ControlArea

602.6

602.944639

602.944639

0.0

Region_AB

Region AB

Region

NaN

0.000000

0.000000

0.0