为实现同一区域内多个不同利益主体微网之间的电能互济,提出一种多代理技术下基于主从博弈的多微网系统经济优化调度方法。首先,设计一种由多微网代理（MMGA）制定系统内部电价,各微网代理（MGA）对电价作出响应的多微网系统能量交互框架;其次,引入可信性理论的模糊机会约束处理可再生能源以及负荷不确定性对调度决策的影响,基于主从博弈建立含模糊机会约束的多微网系统经济优化调度模型;最后,采用遗传算法嵌套CPLEX求解器进行求解。仿真结果表明：所提方法在提高各方经济效益的同时可减小多微网系统与电网的交互电量,有利于分布式资源的就地消纳和电网安全稳定的运行。
Abstract
In order to realize the mutual aid of electric energy among multiple microgrids with different stakeholders in the same region, and come up with an economic optimal scheduling method of multi-microgrid system based on master-slave game under multi-agent technology. Firstly, a multi-microgrid system energy interaction framework, in which the multi-microgrid agents （MMGA） set the internal electricity price of the system, and the microgrid agents （MGA） respond to the electricity price is designed. Secondly, the fuzzy chance constraint of credibility theory to deal with the impact of renewable energy and load uncertainty on dispatching decisions is introduced . Based on the master-slave game, the economic optimal dispatching model of multi-microgrid system with fuzzy chance constraint is established . Finally, the genetic algorithm nested CPLEX solver is used to deal with the problem. The simulation results show that the proposed method not only improves the economic benefits of all parties, but also reduces the interactive power between the multi-microgrid system and the power grid, which is conducive to the local consumption of distributed resources and the safe and stable operation of the power grid.
关键词
分布式发电 /
微电网 /
不确定性分析 /
主从博弈 /
多代理技术 /
优化调度
Key words
distributed power generation /
microgrids /
uncertainty analysis /
master-slave game /
multi-agent technology /
optimization dispatch
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基金
国家自然科学基金（52367012）; 新疆维吾尔自治区重点研发专项资助项目（2022B01020-3）
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