Optimizing the Charging Process of Electric Vehicles in the Context of Renewable Energy Integration

This paper proposes a method for optimizing the charging process of electric vehicles (EVs) within the context of renewable energy integration. The proposed method continuously monitors the maximum available power from the renewable energy sources (RES), grid conditions, and EV’s requirements. Upon receiving reference charging or power signals from the connected EV, the system computes the surplus or required power and adjusts grid interaction accordingly. The proposed method offers several advantages. Firstly, it optimizes energy harvesting from RESs by dynamically adjusting grid and EV interactions based on real-time monitoring. Secondly, it enhances grid stability by intelligently controlling power flow, injecting or consuming surplus power in response to the grid condition. Thirdly, it leverages the growing number of EVs connected to the grid, effectively utilizing them as distributed energy storage systems. To validate the effectiveness and efficiency of the proposed method, extensive simulation tests are conducted under diverse scenarios.