Management of a Local Multi-Source Energy System in a Research Centre based on self-PV Generation and Electric Vehicles

This work proposes an energy management strategy of a local multi-source energy system that integrates photovoltaics (PV) generation and electric vehicles (as a dynamic battery system) in addition to the electrical grid to power a research building. The proposed strategy uses linear programming to coordinate the power of each energy source to reduce the building daily electricity costs. The optimization algorithm include data recorded of self-PV generation, the available storage capacity (that depends on the parked cars), the electrical energy demanded by the building and the retail energy prices. The simulation results indicate that the proposed model allows reducing the daily electricity costs in all cases analyzed.