首页 | 官方网站   微博 | 高级检索  
     

基于混合博弈的多微电网双层协调优化调度
引用本文:程杉,陈梓铭,王瑞,何黎君,魏昭彬. 基于混合博弈的多微电网双层协调优化调度[J]. 电力自动化设备, 2021, 41(8): 41-46. DOI: 10.16081/j.epae.202106009
作者姓名:程杉  陈梓铭  王瑞  何黎君  魏昭彬
作者单位:三峡大学 电力系统智能运行与安全防御宜昌市重点实验室,湖北 宜昌 443002;国网湖北省电力有限公司宜昌市高新区供电公司,湖北 宜昌 443002
基金项目:国家自然科学基金资助项目(51607105);电力系统智能运行与安全防御宜昌市重点实验室开放基金资助项目(2020DLXY01)
摘    要:考虑多微电网系统(MMGS)和微电网聚合商(MA)所有权不同,以及各微电网(MG)间能量互济与利益分配,提出基于混合博弈的MMGS双层协调优化调度模型及其求解方法.上层MA与下层MMGS之间采用基于Stackelberg的主从博弈,保证MA与MMGS的利益双赢;MA作为领导者,以自身收益最大为目标,在证明Stackel...

关 键 词:多微电网系统  微电网聚合商  混合博弈  粒子群优化算法

Double-layer coordinated optimal dispatching of multi-microgrid based on mixed game
CHENG Shan,CHEN Ziming,WANG Rui,HE Lijun,WEI Zhaobin. Double-layer coordinated optimal dispatching of multi-microgrid based on mixed game[J]. Electric Power Automation Equipment, 2021, 41(8): 41-46. DOI: 10.16081/j.epae.202106009
Authors:CHENG Shan  CHEN Ziming  WANG Rui  HE Lijun  WEI Zhaobin
Affiliation:Yichang Key Laboratory of Intelligent Operation and Security Defense of Power System, China Three Gorges University, Yichang 443002, China;Yichang High-tech Zone Power Supply Company of State Grid Hubei Electric Power Co.,Ltd.,Yichang 443002, China
Abstract:Considering the ownerships of MMGS(Multi-MicroGrid System) and MA(Microgrid Aggregator) are different and energy exchange and benefit distribution among each MG(MicroGrid),a double-layer coordinated optimal dispatching model based on mixed game of MMGS and its solving method are proposed. The master-slave game based on Stackelberg is adopted between the upper layer MA and the lower layer MMGS to guarantee a win-win result between MA and MMGS. MA, as the leader, takes its maximum benefit as the object, after the existence of Stackelberg game equilibrium solutions is verified, the particle swarm optimization algorithm based on quorum-sensing mechanism is adopted to solve the internal electricity price between the upper layer MA and the lower layer MGs. The lower layer MGs, as the followers, adopt cooperative game to trade electricity between each other, which improves residual electricity sharing level and realizes rational benefit distribution. MMGS takes its minimum cost as the object, and uses CPLEX to optimize electricity trading plan according to the internal electricity price and feeds it back to MA. The simulation example shows that the proposed method can effectively solve the equilibrium strategy between MMGS and MA, improve the benefit of MMGS, MA and each MG simultaneously, and make more effective use of MMGS resources.
Keywords:multi-microgrid system   microgrid aggregator   mixed game   particle swarm optimization algorithm
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《电力自动化设备》浏览原始摘要信息
点击此处可从《电力自动化设备》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号