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] Energy Market Management for Distribution Network with a Multi-Microgrid System: A Dynamic Game Approach
    Tong, Xin
    Hu, Cungang
    Zheng, Changbao
    Rui, Tao
    Wang, Bo
    Shen, Weixiang
    APPLIED SCIENCES-BASEL, 2019, 9 (24):
  • [22] An Energy Management System for Multi-Microgrid system considering uncertainties using multi-objective multi-verse optimization
    Aeggegn, Dessalegn Bitew
    Nyakoe, George Nyauma
    Wekesa, Cyrus
    ENERGY REPORTS, 2025, 13 : 286 - 302
  • [23] Coalition Game Approach for Electricity Sharing in Multi-Energy Multi-Microgrid Network
    Zhong, Xiaoqing
    Zhong, Weifeng
    Liu, Yi
    Yang, Chao
    Xie, Shengli
    2021 IEEE INTERNATIONAL SMART CITIES CONFERENCE (ISC2), 2021,
  • [24] Energy Optimization for Multi-microgrid System using Two-layer Model
    Huang Qianying
    Liu Junfeng
    Hu Jiajian
    Zeng Jun
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 7404 - 7409
  • [25] Hierarchical energy optimization management of active distribution network with multi-microgrid system
    Sun Wenzhi
    Zhang, Huijuan
    Tseng, Ming-Lang
    Zhang Weipeng
    Li Xinyang
    JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2022, 39 (03) : 210 - 229
  • [26] Region Dispatch Method and Market Trading Strategy for Multi-microgrid Distribution System
    Zhao Y.
    Chen Y.
    Sun W.
    Dianwang Jishu/Power System Technology, 2022, 46 (01): : 47 - 56
  • [27] Scheduling Optimization Mode of Multi-microgrid Considering Demand Response
    Wang Yao
    Shi Zheng
    Wang Jiawei
    Liu Shuting
    Wu Feihong
    Zhao Chen
    Li Jia
    Ren Aiping
    Zhang Jia
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017, : 30 - 35
  • [28] Optimal sizing of grid connected multi-microgrid system using grey wolf optimization
    Aeggegn, Dessalegn Bitew
    Nyakoe, George Nyauma
    Wekesa, Cyrus
    RESULTS IN ENGINEERING, 2024, 23
  • [29] Coalitional game theory approach for multi-microgrid energy systems considering service charge and power losses
    Modarresi, Javad
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 31
  • [30] Research on day-ahead transactions between multi-microgrid based on cooperative game model
    Chen, Weidong
    Wang, Junnan
    Yu, Guanyi
    Chen, Jiajia
    Hu, Yumeng
    APPLIED ENERGY, 2022, 316