cronian.DERs.vre_generator

Model of a prosumer’s variable renewable energy generator.

Functions

add_vre_generator_to_model(→ pyomo.environ.AbstractModel)

Add a prosumer's VRE generator to the optimization model.

Module Contents

cronian.DERs.vre_generator.add_vre_generator_to_model(model: pyomo.environ.AbstractModel, prosumer: dict, asset_name: str, timeseries_data: pandas.DataFrame, number_of_timesteps: int | None) → pyomo.environ.AbstractModel

Add a prosumer’s VRE generator to the optimization model.

This includes any renewable energy source that is variable in nature with an arbitrary carrier: wind, solar_pv, geothermal, solar thermal, etc.

Args:

model: Pyomo model to which a prosumer’s VRE generator will be added. prosumer: Dictionary containing prosumer details. asset_name: Name of the VRE generator asset. timeseries_data: Timeseries data containing the availability factors. number_of_timesteps: Number of timesteps to run the optimization for. asset_name: Name of the VRE generator asset.

Returns:

model: AbstractModel with the added VRE generator.

Raises:

KeyError: If a required asset parameter is missing