Research on the Optimization Strategy of Shared Energy Storage Operators and Multi-Park Energy Trading Based on Semi-Negotiation and Bilinear Master-Slave Game

In response to the issues of incomplete utilization of flexible energy storage resources on the user side and the single operation mode of shared energy storage, a shared energy storage operator - multi-park joint operation mode considering the integration of multiple types of energy storage resources by the shared energy storage operator is proposed. A semi-zero-sum bilinear master-slave game energy trading strategy is introduced to solve the energy trading and electricity price setting problems under the joint operation mode. Firstly, an optimization model of semi-zero-sum bilinear master-slave game based on the maximum revenue of the shared energy storage operator and the minimum operation cost of multiple parks is constructed. Secondly, based on the Karush-Kuhn-Tucker (KKT) conditions and strong duality theory, the semi-zero-sum bilinear master-slave game model is precisely linearized and dimensionally reduced. Finally, the GUROBI solver is used to solve the master-slave game model. The results show that the proposed game optimization strategy effectively balances the interests of the shared energy storage operator and the multi-park system, and verifies the economic and reliability of the proposed strategy.