Research on Coordinated Charging Strategy of Electric Vehicles Based on PSO Algorithm

Electric vehicles (EVs) have unparalleled advantages compared to traditional cars in energy saving and alleviating the dependence on fossil fuel. However, thousands of EVs charging at the same time will lead to bad impacts on the power grid, which may further increase the peak-valley difference and load fluctuation. This paper aims to find an optimal coordinated charging strategy of EVs with consideration of renewable energy involvement. Based on Particle Swarm Optimization (PSO) algorithm, a coordinated charging control method is developed. EV users' satisfaction and the proportion of abandoned renewable energy are chosen to be part of the objective function. Monte-Carlo method is employed to simulate the charging behaviors of EV users. Simulation results under uncoordinated and coordinated charging scenarios are compared and analyzed, which shows that the proposed method can effectively smoothen the system load curve.