Profit optimization of a Vehicle-to-Grid energy aggregator participating in the ancillary services and energy market formulated as a Convex Linear Problem using the Pyomo modeling language.
This study is inspired by the paper Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services, which however differs from it on two aspects:
- a comparison between traditional Smart Charging and more innovative Vehicle-to-Grid (V2G) is proposed,
- the Italian electricity market and regulations are considered.
For more details on the problem formulation, input data and simulation results, please refer to this presentation.