基于主从博弈的配电网-多微网双层优化调度
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引用本文:高鑫1,魏立保2,梁岩3,4.基于主从博弈的配电网-多微网双层优化调度[J].电网与清洁能源,2025,41(4):12~17
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作者单位
高鑫1 1. 国家电网西北分部 
魏立保2 2. 国网甘肃省电力公司 
梁岩3,4 3. 国网陕西省 电力有限公司西安供电公司4. 西安理工大学电气工程学院 
基金项目:科技部高端外国专家引进计划项目(G2023041010L);国网青海省电力公司科技项目(SGTYIT/23-JS-004)
中文摘要:随着同一配电区域内微网个数的增加,其分别属于不同的利益主体,形成多种主体博弈格局。考虑到配电网和微网的利益,选取配电网做为博弈主、各微网做为博弈从,建立了配电网-多微网主从博弈模型。通过粒子群算法优化采样点,准确地获得各微网的交易价格和发电计划。结果表明:各微网的整体运行成本分别下降1.4%、4.6%和1.6%,有效平衡了微网系统中多方利益;配电网的收益提高了50.6%。
中文关键词:微网  主从博弈  粒子群算法
 
Hierarchical Optimization Dispatching of Distribution Network-Multi Microgrid Based on Master-Slave Game Theory
Abstract:With the increase in the number of microgrids within the same distribution network area, they belong to different stakeholders, forming a multi-agent game pattern. Considering the interests of the distribution network and microgrids, the distribution network is selected as the game leader and each microgrid as the game follower, establishing a leader-follower game model between the distribution network and multiple microgrids. By employing the particle swarm optimization algorithm to optimize sampling points, the transaction prices and generation plans for each microgrid are determined with precision. The results show that the overall operating costs of each microgrid have decreased by 1.4%, 4.6%, and 1.6% respectively, effectively balancing the interests of multiple parties in the microgrid system; the revenue of the distribution network has increased by 50.6%.
keywords:microgrid  master-slave game  particle swarm algorithm
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