Under the premise of studying the charging demand of electric vehicle users, two different charging methods are simulated and analyzed by the Monte Carlo method. Firstly, the influence of user responsiveness on the orderly charging of electric vehicles is analyzed, and also the model of analyzing the influences of peaktovalley timeofuse electricity price on electric vehicle load is established. Then, on the basis of simulating the disordered charging load of the electric vehicle, the model is verified by an actual case. The multiobjective optimization genetic algorithm is used to solve the problem, and the effectiveness of using peaktovalley timeofuse electricity price to optimal the grid load is verified.