Research on the cooperative optimization method for the integration of vehicle-pile-grid

With the continuous increase in the ownership of electric vehicle (EV), EVs have become one of the important sources of flexibility reserves for the power grid. Cooptimization of vehicle-pile-grid (VPG) can effectively improve grid management efficiency and save social costs. Considering the impact of two key factors, charging pile anxiety and battery loss sensitivity, on the electricity cost of EV users, centralized and decentralized decision-making models are constructed for the grid company and EV users, the optimal service capacity of the users under the two models are compared, and the optimal range of the grid's purchase price under decentralized decisionmaking is given. On this basis, the classification criteria for the optimal VPG participation group are proposed based on the charging and discharging costs, and an incentive mechanism is introduced to expand the scope of the optimal VPG participation group and further improve the motivation of users to participate in VPG. Finally, the feasibility of the model and theoretical results in this paper is verified by simulation analysis.