Under the background of the global energy crisis,electric vehicles have become increasingly popular. Disordered charging of large-scale electric vehicles has brought new electric pressure to the power system. It is particularly important to plan orderly charging of electric vehicles and solve the problem of peak-valley difference widening caused by charging. Based on the game theory,evaluating the peak shaving level by variance is proposed firstly. Users' waiting time for charging is considered. A game charging model based on revenue from selling power stations and user satisfaction of electric vehicles is established. Then,particle swarm optimization (PSO) algorithm is used to obtain the optimal strategy of both sides to achieve the game equilibrium. Finally,simulation analysis is carried out with a residential area of 600 households as an example. Simulation results show that the built model and solution strategy can optimize the charging behavior of electric vehicles,adjust the grid load variance to a large extent,and prevent the generation of new charging peaks. At the same time,on the basis of ensuring the power grid's peak and valley adjustment needs,the income of selling power station is increased and the travel needs of users are satisfied.