计及综合影响度的共享储能-多综合能源微网协调优化

Coordinated Optimization of Shared Energy Storage and Multi-energy Microgrid Considering Comprehensive Impact Factors

  • 摘要: 为解决区域综合能源型多微网(multi-microgrid,MMG)合作运行过程中各利益主体间合作收益分配不均衡以及MMG内部分布式储能投资成本高、利用率较低等问题。该文提出一种计及综合影响度的共享储能与区域综合能源型多微网双层能量交易策略。首先,将合作博弈嵌套在共享储能商与MMG间的主从博弈中,建立共享储能商与MMG的双层博弈运行模型。其次,基于纳什谈判理论,解决MMG联盟的合作博弈运行问题,并在合作收益分配中,提出考虑综合影响度的理想利益分配模型,各成员通过电能影响因子和碳排放影响因子来综合评估合作贡献,并根据综合影响度公平分配收益,确保有效的能源合作。最后,提出结合改进的粒子群算法、交替方向乘子法的混合求解方法,并通过MATLAB平台调用Yalmip工具箱和CPLEX求解器进行求解。所提模型与方法的有效性在算例仿真中得到验证。

     

    Abstract: To address the issues of uneven cooperative benefit distribution among various stakeholders and high investment costs and low utilization rates of distributed energy storage within a multi-microgrid (MMG) during the collaborative operation process, a dual-layer energy trading strategy for shared energy storage and MMGs considering comprehensive impact factors is proposed. Firstly, the cooperative game is embedded within the master-slave game between shared energy storage providers and MMGs, thereby establishing a dual-layer game-theoretic operational model. Secondly, by utilizing Nash bargaining theory, the cooperative game within MMG alliances is resolved, and an ideal benefit allocation model considering the comprehensive impact degree is proposed. The cooperative contributions of each member are evaluated based on the electricity impact factor and carbon emission impact factor. The benefits are subsequently allocated in a fair manner according to the comprehensive impact degree, thus ensuring effective energy cooperation. Finally, a hybrid solution method that combines the improved particle swarm algorithm with the alternating direction method of multipliers (ADMM) algorithm is proposed, and the Yalmip toolbox and Mosek solver of the MATLAB platform are used to obtain the solution. The effectiveness of the proposed model and method is verified through case simulations.

     

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