基于合作博弈的台区共享储能容量规划与运行策略研究

Capacity planning and operation strategy of shared energy storage in distribution station areas based on cooperative game theory

  • 摘要: 台区共享储能是解决分布式光伏就地消纳、提升台区供电可靠性以及提高储能运行效益的重要途径。为最大化台区分布式光伏用户经济效益,将台区共享储能的最优容量配置和运行策略建模为基于两阶段随机优化的合作博弈,并采用平等主义夏普利(Shapley)值法公平分配大联盟合作成本。首先,将共享储能合作博弈的联盟价值表征为包含储能投资成本和用户用电成本的联盟总成本。然后,证明提出的合作博弈模型满足超可加性,表明台区所有光伏用户有动机组成大联盟合作投资运营储能设备。最后,提出一种基于平等主义Shapley值的成本分配方案,该方案通过兼顾平均主义原则和功利主义原则实现大联盟总成本的合理分配。算例分析表明,基于合作博弈的台区共享储能可节省光伏用户成本、提升台区自平衡能力以及提高分布式光伏本地消纳率。

     

    Abstract: The sharing of energy storage within a distribution station area presents an important approach to promoting the local consumption of distributed photovoltaic, enhancing the reliability of power supply in the distribution station area, and improving the operational benefits of energy storage. To maximize the economic benefits of distributed photovoltaic users within the distribution station area, the optimal capacity configuration and operation strategy of shared energy storage are formulated as a cooperative game based on two-stage stochastic optimization, and the egalitarian Shapley value is used to equitably allocate the cooperation cost of the grand coalition. First, the coalition value of the shared energy storage cooperative game is characterized as the total coalition cost that includes the energy storage investment cost and the user electricity cost. Subsequently, it is proved that the proposed cooperative game model satisfies superadditivity, indicating that all photovoltaic users in the distribution station area are motivated to form a grand coalition to cooperate in investing in and operating energy storage devices. Finally, a cost allocation scheme based on the egalitarian Shapley value is proposed, which achieves a rational allocation of the total cost of the grand coalition by considering the principles of egalitarianism and utilitarianism. Numerical analysis indicates that the cooperative game-based energy storage sharing in the distribution station area can save photovoltaic users’ costs, improve the self-balancing capacity of the area, and increase the local consumption rate of distributed photovoltaic power.

     

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