By using idle electric vehicles as energy storage devices

the electric energy can be fed back to the grid during peak period so as to reduce the load fluctuation of the grid. On the premise of fully considering the behavior characteristics of electric vehicles

an optimal control method based on redundant configuration for the virtual energy storage of electric vehicles to participate in the peak shaving of the grid is proposed in this paper. Taking the minimum fluctuation of the load as the goal

considering the constraints such as the daily mileage of electric vehicles and the end time of the travel

the redundant configuration is determined according to the probability that the virtual energy storage capacity of electric vehicles meets the scheduling demand

and the model of the electric vehicle virtual energy storage to participate in the peak shaving of the grid based on the redundant configuration is established. The particle swarm optimization algorithm is used to solve the model. The effectiveness and correctness of the proposed method are verified by a simulation example of actual grid operation data in China. The simulation results show that the "composite load" after the virtual energy storage of electric vehicles is smoother than the original load curve

and the peak-to-valley difference is significantly reduced. The method proposed in this paper can improve the reliability of the electric vehicle virtual energy storage participating in peak shaving of the grid

and provide a theoretical basis for electric vehicles to participate in auxiliary services.