Capacity Configuration and Operation Optimization of Rural Microgrid Clusters Based on Electric Vehicle Charge-Discharge Characteristics and Mixed Game

In order to make full use of the complementarity of renewable energy and the flexible charge-discharge characteristics of electric vehicles, a two-stage optimization model of rural microgrid clusters based on Mixed game is established in this paper. Firstly, based on the principle of minimum investment cost, the capacity allocation model of rural microgrid based on non-cooperative game is established, and the optimal capacity of renewable energy units in the microgrid is obtained by particle swarm optimization algorithm. Then, based on the charge and discharge characteristics of electric vehicles, users are guided to participate in the demand response. Under the constraint of optimal capacity allocation, a rural microgrid cooperative operation model based on Nash bargaining is established with the principle that the rural microgrid joint operation has the highest return. The alternating direction method of multipliers (ADMM) is adopted to solve the optimal transaction scheme between microgrids. Finally, the two-stage optimization model of rural microgrid clusters is simulated and verified. The results show that the model can realize the optimal capacity configuration of rural microgrid at a lower cost, and improve the operation efficiency of rural microgrid clusters and the overall benefit of rural microgrid clusters while considering the charging and discharging characteristics of electric vehicles.