基于主从博弈的多主体投资多微网系统优化配置

doi:10.11930/j.issn.1004-9649.202107162

中国电力 ›› 2022, Vol. 55 ›› Issue (6): 65-73,127.DOI: 10.11930/j.issn.1004-9649.202107162

• 电力市场模型研究及应用 • 上一篇下一篇

基于主从博弈的多主体投资多微网系统优化配置

潘瑞媛¹, 唐忠¹, 史晨豪², 魏敏捷¹, 李安¹, 戴尉阳¹

1. 上海电力大学电气工程学院，上海　200090;
2. 国网江苏省电力有限公司超高压分公司，江苏南京　211102

收稿日期:2021-08-03 修回日期:2022-03-08 出版日期:2022-06-28 发布日期:2022-06-18
作者简介:潘瑞媛（1994—），女，通信作者，硕士研究生，从事微电网规划与运行技术研究，E-mail：530043394@qq.com;唐忠（1964—），男，博士，教授，从事电力系统运行与控制技术研究，E-mail：tangzhong64@163.com
基金资助:
国家自然科学基金资助项目（面向电网可用性的V2G交互信息隐私保护关键技术, 61872230）；上海市科学技术委员会科研项目（基于需求侧响应的园区能源互联网自调适技术研究与应用， 18DZ1203200）。

Optimal Configuration of Multi-microgrid System with Multi-agent Joint Investment Based on Stackelberg Game

PAN Ruiyuan¹, TANG Zhong¹, SHI Chenhao², WEI Minjie¹, LI An¹, DAI Weiyang¹

1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. Jiangsu Electric Power Company Maintenance Branch, Nanjing 211102, China

Received:2021-08-03 Revised:2022-03-08 Online:2022-06-28 Published:2022-06-18
Supported by:
This work is supported by National Natural Science Foundation of China (No.61872230) and Scientific Research Project of Shanghai Science & Technology Commission (No.18DZ1203200).

摘要/Abstract

摘要： 随着越来越多微电网协同运行，微网与微网间、微网与配网间电能交互过程愈发复杂，同时也影响着微网运营商及配网运营商的投资利益。为了探索两者间联合投资的最佳规划策略，提出一种基于主从博弈的多主体投资多微网系统优化配置方法。首先，在多微网系统模型基础上，构建考虑多微电网运营商运行成本、经济收益，以及配电网运营商投资微电网成本、延缓配电网升级及售购电收益的函数模型。然后，分别以多微网系统支付函数最小和配网收益最大为目标建立主从博弈模型，并提出自适应遗传算法与粒子群算法相结合的算法，求解多微网系统分布式电源最优配置。最后，通过4组方案进行对比实验，证明了所提规划方法能更好地平衡多微网运营商和配网运营商间的收益。

关键词: 多微网系统, 联合投资, 优化配置, 主从博弈, 自适应遗传算法

Abstract: With more and more microgrids operate in coordination, the process of power interaction between microgrids and between microgrids and distribution networks has become increasingly complicated, which also affects the investment interests of microgrid and distribution network operators. To explore the best planning strategy for joint investment between the two, this paper proposes a method for optimal configuration of the multi-microgrid system with multi-agent investment based on the Stackelberg game. Firstly, on the basis of the multi-microgrid system model, a function model is constructed, which considering the operating costs and economic benefits of microgrid operators, investment costs of distribution network operators in microgrids, as well as interests of delays in grid upgrades and electricity sales and purchases. Then, a Stackelberg game model is built to minimize the payoff function of the multi-microgrid system and maximize the revenue of distribution networks separately. In addition, an algorithm combining the adaptive genetic algorithm and particle swarm optimization is proposed to solve the optimal configuration of distributed power in the multi-microgrid system. Finally, a comparative experiment with four sets of plans proves that the proposed planning method can better balance the revenue between multi-microgrid operators and distribution network operators.

Key words: multi-microgrid system, joint investment, optimal configuration, Stackelberg game, adaptive genetic algorithm

潘瑞媛, 唐忠, 史晨豪, 魏敏捷, 李安, 戴尉阳. 基于主从博弈的多主体投资多微网系统优化配置[J]. 中国电力, 2022, 55(6): 65-73,127.

PAN Ruiyuan, TANG Zhong, SHI Chenhao, WEI Minjie, LI An, DAI Weiyang. Optimal Configuration of Multi-microgrid System with Multi-agent Joint Investment Based on Stackelberg Game[J]. Electric Power, 2022, 55(6): 65-73,127.

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https://www.electricpower.com.cn/CN/Y2022/V55/I6/65

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基于主从博弈的多主体投资多微网系统优化配置

Optimal Configuration of Multi-microgrid System with Multi-agent Joint Investment Based on Stackelberg Game

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基于主从博弈的多主体投资多微网系统优化配置

Optimal Configuration of Multi-microgrid System with Multi-agent Joint Investment Based on Stackelberg Game

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