基于主从博弈的多微网共享储能优化调度研究OA北大核心CSTPCD

In order to avoid problems such as poor economic benefits and low utilization of renewable energy in the configuration of multi-microgrid(MG)shared energy storage,a method of master-slave game theory based optimization scheduling of multi-microgrid shared energy storage is proposed.A systematic modeling of multi-microgrid systems and shared energy storage operators(SESO)is conducted.With SESO as the master body and each MG as the slave body,a master-slave game optimization model is constructed.SESO provide energy storage leasing services on a daily basis,and the time-of-use electricity price is used to participate in peak shaving of distribution network.The master body can adjust the lease price to pursue maximum profit,and the slave body can adjust the lease capacity according to the lease price to reduce its own electricity costs.The energy storage leasing capacity and shared energy storage scheduling strategy within the MG were solved.The results of the numerical analysis show that the proposed method can improve the profit of energy storage,effectively improve the utilization efficiency of shared energy storage power stations and multi-MG,reduce the cost of MG operation,and improve the economic efficiency of MG operation.