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基于半零和双线性主从博弈的共享储能运营商-多园区能量交易优化策略

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

  • 摘要: 针对用户侧灵活性储能资源未完全利用、共享储能运行模式单一的问题,提出一种考虑共享储能运营商整合多类储能资源的共享储能运营商-多园区联合运行模式,引入半零和双线性主从博弈能量交易策略解决联合运行模式下的能量交易、电价制定问题。首先,构建以共享储能运营商收益最高、多园区运行成本最低的半零和双线性主从博弈优化模型;其次,基于卡罗需-库恩-塔克(Karush-Kuhn-Tucker, KKT)条件与强对偶理论,对半零和双线性主从博弈模型实施精准线性化降维;最后,采用GUROBI求解器对主从博弈模型进行求解。结果表明,所提博弈优化策略较好地平衡了共享储能运营商与多园区系统的利益诉求,验证了所提策略的经济性与可靠性。

     

    Abstract: 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.

     

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