edisgo.network.components.PotentialChargingParks ================================================ .. py:class:: edisgo.network.components.PotentialChargingParks(**kwargs) Bases: :py:obj:`BasicComponent` .. autoapi-inheritance-diagram:: edisgo.network.components.PotentialChargingParks :parts: 1 Generic component Can be initialized with EDisGo object or Topology object. In case of Topology object component time series attributes currently will raise an error. .. py:property:: voltage_level Voltage level the component is connected to ('mv' or 'lv'). :returns: Voltage level. Returns 'lv' if component connected to the low voltage and 'mv' if component is connected to the medium voltage. :rtype: :obj:`str` .. py:property:: grid Grid component is in. :returns: Grid component is in. :rtype: :class:`~.network.grids.Grid` .. py:property:: ags 8-digit AGS (Amtlicher Gemeindeschlüssel, eng. Community Identification Number) number the potential charging park is in. Number is given as :obj:`int` and leading zeros are therefore missing. :returns: AGS number :rtype: int .. py:property:: use_case Charging use case (home, work, public or hpc) of the potential charging park. :returns: Charging use case :rtype: str .. py:property:: designated_charging_point_capacity Total gross designated charging park capacity in kW. This is not necessarily equal to the connection rating. :returns: Total gross designated charging park capacity :rtype: float .. py:property:: user_centric_weight User centric weight of the potential charging park determined by `SimBEV `_. :returns: User centric weight :rtype: float .. py:property:: geometry Location of the potential charging park as :shapely:`Shapely Point object`. :returns: Location of the potential charging park. :rtype: :shapely:`Shapely Point object`. .. py:property:: nearest_substation Determines the nearest LV Grid, substation and distance. :returns: :obj:`int` LV Grid ID :obj:`str` ID of the nearest substation :obj:`float` Distance to nearest substation :rtype: :obj:`dict` .. py:property:: edisgo_id .. py:property:: charging_processes_df Determines designated charging processes for the potential charging park. :returns: DataFrame with AGS, car ID, trip destination, charging use case (private or public), netto charging capacity, charging demand, charge start, charge end, potential charging park ID and charging point ID. :rtype: :pandas:`pandas.DataFrame` .. py:property:: grid_connection_capacity .. py:property:: within_grid Determines if the potential charging park is located within the grid district.