A Coordinated Charging Strategy for Electric Vehicles Based on Multi-objective Optimization

With the rapid growth of electric vehicles (EV), the uncoordinated charging will jeopardize the power grid. In order to reduce the impacts of the uncoordinated charging, in this paper, a multi-objective optimization algorithm based coordinated EVs charging strategy has been proposed, which considers both user level and system level benefits simultaneously. According to the actual driving pattern data of EV users, the charging demand of EVs is established by Monte Carlo method. On the basis of the difference for electrical charging cost on peak/valley of power grid, the charging patterns are refined by multi-objective optimization scheduling model. A case study also been provided on the paper to verify the effectiveness of the proposed method.