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1.湘潭大学自动化与电子信息学院,湖南省湘潭市 411105
2.湘潭大学多能协同控制技术湖南省工程研究中心,湖南省湘潭市 411105
Received:07 February 2024,
Revised:2024-05-30,
Published Online:20 July 2024,
Published:10 November 2024
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王逸群,彭寒梅,谭貌等.基于两阶段博弈的多微电网配电系统功率互济协调优化方法[J].电力系统自动化,2024,48(21):92-101.
WANG Yiqun,PENG Hanmei,TAN Mao,et al.Coordinated Optimization Method for Power Sharing in Multi-microgrid Distribution Systems Based on Two-stage Game[J].Automation of Electric Power Systems,2024,48(21):92-101.
王逸群,彭寒梅,谭貌等.基于两阶段博弈的多微电网配电系统功率互济协调优化方法[J].电力系统自动化,2024,48(21):92-101. DOI: 10.7500/AEPS20240207002.
WANG Yiqun,PENG Hanmei,TAN Mao,et al.Coordinated Optimization Method for Power Sharing in Multi-microgrid Distribution Systems Based on Two-stage Game[J].Automation of Electric Power Systems,2024,48(21):92-101. DOI: 10.7500/AEPS20240207002.
多微电网配电(MMGD)系统能源协调与共享对提升区域电网经济效益具有重要意义。由于单一博弈调度策略难以兼顾多主体利益诉求,提出了一种基于两阶段博弈的能量协调优化方法,全面考虑了各主体间既相互竞争又协同合作的现实场景。第1阶段以最大化个体收益为目标,构建了配电网与余电微电网的非合作电价博弈模型,系统在不同策略组合下选择不同的运行模式;第2阶段建立MMGD点对点合作博弈模型,旨在最小化系统传输损耗,运用拉格朗日乘子法与KKT(Karush-Kuhn-Tucker)条件处理复杂约束,并应用Shapley值法实现合作利润分配。仿真结果表明,所提方法能兼顾个体理性和集体理性,并显著提升系统经济性。
The energy coordination and sharing in multi-microgrid distribution (MMGD) systems are of significant importance for enhancing the economic efficiency of regional grids. Because a single game scheduling strategy is difficult to take into account the interests of various stakeholders
an energy coordinated optimization method based on two-stage game is proposed
which fully considers the realistic scenario of both competition and coordination among stakeholders. In the first stage
a non-cooperative electricity price game model between the distribution networks and surplus microgrids is constructed with the objective of maximizing individual profits
where the system selects different operation modes under various strategy combinations. In the second stage
the MMGD peer-to-peer cooperative game model is established
aiming at minimizing the system transmission loss
applying the Lagrange multiplier method and KKT (Karush-Kuhn-Tucker) condition to deal with the complex constraints
and applying the Shapley value method to ensure the cooperative profit distribution. The simulation results show that the proposed method can balance the individual rationality and collective rationality
and significantly improve the system economy.
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