cronian.generators

This builds all generator agents at once.

Unlike build_prosumer function that builds a single prosumer agent at a time. This is because the focus of DEMOSES is on modeling prosumers in detail. Moreover, generator agents here are all modeled with a similar structure and only differ in their parameters.

Functions

add_all_generators(→ pyomo.environ.AbstractModel)

Build and add all generator agents' to the optimization model.

Module Contents

cronian.generators.add_all_generators(model: pyomo.environ.AbstractModel, generator_agents: dict, timeseries_data: pandas.DataFrame) → pyomo.environ.AbstractModel

Build and add all generator agents’ to the optimization model.

Args:

model: Pyomo AbstractModel to which generators are added. generator_agents: Dictionary containing generator agents’ details. timeseries_data: Timeseries data containing the availability factors for

VRE generators and EVs doing V2G, demand profiles for prosumers, …

Returns:

Pyomo AbstractModel with generators added.