Abstract:Regarding the problem of mismatch between fast charging load and charging resources for electric vehicles,an innovative optimization model for charging stations is developed by applying Monte Carlo simulation to predict the load distribution under different configurations of charging stations.The model aimes to minimize the overall social cost while considering the interests of charging stations,users,power grid,and transportation.An improved multi-chromosome genetic algorithm is employed to solve the optimization problem and obtain optimal planning solutions for charging stations in the region.The effectiveness of the proposed approach is validated using the case of Pudong New Area in Shanghai.The research findings provide strong decision support for addressing the mismatch issue between fast charging load and charging resources for electric vehicles.