In order to analyze the impact of electric vehicleaccess to virtual power plant on virtual power plant scheduling, the space-time distribution characteristics of electric vehicle are analyzed by fitting the starting time of electric vehicle charging with three peak Gaussian distribution function and the mileage of electric vehicle with lognormal distribution. Then based on the limitedcharge and discharge power, an orderly charge and discharge strategy is formulated. Secondly, the EVPP scheduling optimization model is constructed by maximizing the EVPP comprehensive in-come and minimizing the deviation rate of the declaration, and using the improved NSGA-II algorithm that introduces the lion selection method to search for the optimal solution. Finally, an example of EVPP including gas turbine, wind turbine, photovoltaic unit,and electric vehicle is analyzed. The analysis results of the calculation examples show that on the one hand, the improved NSGA-II algorithm has higher solution efficiency and better optimization effect than the traditional NSGA-II algorithm. On the other hand, the power control charging and discharging strategy can not only reduce the peak-valley difference, but also realize electric the car’speak and valley time changes smoothly.