AbstractIn order to reduce the negative impact of disorderly charging of electric vehicles on the power grid, this article uses an improved particle swarm optimization algorithm to optimize the electric vehicle charging model. With full consideration of various constraints, load variance, load peak‐valley difference, and the charging cost of electric vehicle users are taken as optimization targets. The simulation results show that the orderly charging control strategy proposed in this article realizes the peak‐shaving and valley‐filling of the grid, reduces load fluctuations, improves the performance of the grid, and improves the safety and reliability of grid operation. The method proposed in this article provides a reference for electric vehicle charging scheduling.