feedinlib.powerplants.WindPowerPlant

class feedinlib.powerplants.WindPowerPlant(model=<class 'feedinlib.models.WindpowerlibTurbine'>, **attributes)

Class to define a standard set of wind power plant attributes.

The WindPowerPlant class serves as a data container for wind power plant attributes. Actual calculation of feed-in provided by the wind power plant is done by the chosen wind power model. So far there are two wind power models, WindpowerlibTurbine and WindpowerlibTurbineCluster. The WindpowerlibTurbine model should be used for single wind turbines, whereas the WindpowerlibTurbineCluster model can be used for wind farm and wind turbine cluster calculations.

Parameters:

• model (A subclass or instance of subclass of feedinlib.models.WindpowerModelBase) –

  The model parameter defines the feed-in model used to calculate the wind power plant feed-in. It defaults to WindpowerlibTurbine.

  model is used as the model parameter for Base.

• **attributes – Wind power plant parameters. See power_plant_parameters parameter in respective model’s feedin() method for further information on the model’s required and optional plant parameters.

Methods

__init__([model])
feedin(weather[, scaling])	Calculates wind power plant feed-in in Watt.

Attributes

nominal_power	Nominal power of wind power plant in Watt.
required	The power plant parameters the specified model requires.

__init__(model=<class 'feedinlib.models.WindpowerlibTurbine'>, **attributes)

feedin(weather, scaling=None, **kwargs)

Calculates wind power plant feed-in in Watt.

The feed-in can further be scaled by the nominal power of the wind power plant using the scaling parameter.

This method delegates the actual computation to the model’s meth:feedin method while giving you the opportunity to override some of the inputs used to calculate the feed-in. See model’s feedin() method for further information on feed-in calculation.

Parameters:

• weather – Weather data to calculate feed-in. Check the weather parameter of the respective model’s feedin() method for required weather data parameters and format.
• scaling (str) – Specifies what feed-in is scaled by. Possible option is ‘nominal_power’. Defaults to None in which case feed-in is not scaled.
• **kwargs – Keyword arguments for respective model’s feed-in calculation. Check the keyword arguments of the model’s feedin() method for further information.

Returns:

Series with wind power plant feed-in in Watt.

Return type:

pandas.Series

nominal_power

Nominal power of wind power plant in Watt.

See nominal_power attribute of your chosen model for further information on how the nominal power is derived.

required

The power plant parameters the specified model requires.

Check the model’s power_plant_requires attribute for further information.