Electric Vehicle Charge Management taking into account Grid State and Forecast Uncertainties of Photovoltaic Generation

The increasing usage of electric vehicles (EVs) motivates the development of decentralized control strategies for EV charging stations. We present a predictive control scheme that can mitigate the stress on the distribution grids as well as increase photovoltaic (PV) self-consumption while catering for forecast uncertainties. Here, we demonstrate the performance of our approach through a simulation and a field test within a residential context. Results suggest a significant increase in PV self-consumption with our novel dynamic approach compared to a previously static algorithm deployed in the same field environment.