Economic optimization method of multi-stakeholder in a multi-microgrid system based on Stackelberg game theory

被引:24
|
作者
Wu, Qiong [1 ]
Xie, Zhun [1 ]
Li, Qifen [1 ]
Ren, Hongbo [1 ]
Yang, Yongwen [1 ]
机构
[1] Shanghai Univ Elect Power, Coll Energy & Mech Engn, Shanghai 200090, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-stakeholder; Multi-microgrid; Economic performance; Stackelberg game theory;
D O I
10.1016/j.egyr.2021.11.148
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the continuous deepening of power market reforms, studying the interaction of multi-stakeholder in multi-microgrid (MMG) energy trading is of great significance to improve the economic performance of the distribution network. In order to analyze the economic optimization method of multiple stakeholders in the distributed energy system, this paper proposes a multi-stakeholder benefit optimization method based on Stackelberg game theory (SGT), and establishes a local market energy transaction model. The model is composed of external distribution network, leader-intermediary agent (IA) and follower-microgrids (MGs), and uses the master-slave game method to solve the optimization strategy. Under this mode, the profit of each stakeholder in MMG increased by 2.64%, 4.24%, 1.38% respectively. The case results show that based on the method in this paper, multi-stakeholder in MMG can improve economic performance and can increase the level of energy autonomy of MMG. (C) 2021 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:345 / 351
页数:7
相关论文
共 50 条
  • [21] Coordinated Optimization Method for Power Sharing in Multi-microgrid Distribution Systems Based on Two-stage Game
    Wang, Yiqun
    Peng, Hanmei
    Tan, Mao
    Su, Yongxin
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2024, 48 (21): : 92 - 101
  • [22] Diffusion Strategy-Based Distributed Optimization for Operation of Multi-Microgrid System
    Bui, Van-Hai
    Husain, Akhtar
    Kim, Hak-Man
    PROCEEDINGS OF TENCON 2018 - 2018 IEEE REGION 10 CONFERENCE, 2018, : 1578 - 1583
  • [23] Multi-microgrid bi-layer economic scheduling strategy considering evolutionary-stackelberg hybrid game of electric vehicles
    Zhang, Qian
    Wu, Jiaqi
    Sun, Tao
    Huang, Yaoyu
    Li, Chunyan
    IET SMART GRID, 2024, 7 (05) : 554 - 571
  • [24] Energy Management of a Multi-Agent Based Multi-Microgrid System
    Ren, J. S.
    Tan, K. T.
    Sivaneasan, B.
    So, P. L.
    Gunawan, E.
    2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC), 2014,
  • [25] Cooperative Game Model and Optimal Dispatch Strategy of Multi-microgrid System
    Li D.
    Wu Z.
    Zhao B.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 42 (14): : 5140 - 5153
  • [26] Multi-agent system based dynamic game model of smart distribution network containing multi-microgrid
    School of Electrical Engineering and Information, Sichuan University, Chengdu
    Sichuan Province
    610065, China
    Dianwang Jishu, 12 (3321-3327):
  • [27] Optimization of the Operational Cost and Environmental Impact of a Multi-Microgrid System
    Gildenhuys, Tiaan
    Zhang, Lijun
    Ye, Xianming
    Xia, Xiaohua
    INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 3827 - 3832
  • [28] Economic dispatch of active distribution power system with multi-microgrid based on non-cooperation games theory
    Huang Guanhua
    Yang Junjie
    Xue Naifan
    Fang Jicheng
    2018 5TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2018, : 203 - 208
  • [29] Energy management of a multi-microgrid system
    Gildenhuys, Tiaan
    Zhang, Lijun
    Ye, Xianming
    IFAC PAPERSONLINE, 2017, 50 (02): : 235 - 236
  • [30] Economic Dispatch of Distribution Network with Multi-Microgrid
    Zhao Qiongyao
    Liu Shirong
    Zheng Ying
    Chen Xueting
    Zheng Lingwei
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 9060 - 9065