Pricing strategy of V2G demand response for industrial and commercial enterprises based on cooperative game

被引:0
|
作者
Ma, Yuanqian [1 ]
Lu, Yuhao [1 ]
Yin, Yuchen [1 ]
Lei, Yi [2 ]
机构
[1] Zhejiang Sci Tech Univ, Sch Informat Sci & Engn, Hangzhou, Peoples R China
[2] Tsinghua Univ, Sichuan Energy Internet Res Inst, Chengdu, Peoples R China
基金
中国国家自然科学基金;
关键词
Cooperative game; Industrial and commercial power enterprises; Electric vehicle; V2G; Demand response; CONSUMPTION;
D O I
10.1016/j.ijepes.2024.110051
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The electricity consumption and electricity cost of industrial and commercial enterprises (ICEs) are high, and the disorderly charging and discharging of electric vehicles (EVs) brings a great risk to the safe and stable operation of the power grid. Therefore, this paper proposes a V2G demand response pricing strategy for ICE based on cooperative game. Firstly, a V2G demand response mode of ICE is proposed, in which the costs and benefits of both ICE and the corresponding EV employees (EVEs) are analysed, laying the foundation for determining the optimal V2G demand response price. Then, an optimal pricing strategy of V2G demand response for ICE based on cooperative game is put forward, considering the benefits of both ICE and EVE. Finally, an enterprise located in a high-tech zone in Zhejiang province is taken as a case study. The results show that the proposed cooperative game-based pricing strategy of V2G demand response for ICE can increase the benefit of EVE, and reduce the electricity consumption cost of ICE, thus realizing the win-win situation for both ICE and EVE.
引用
下载
收藏
页数:9
相关论文
共 50 条
  • [1] Game Theory Based Optimal Pricing Strategy for V2G Participating in Demand Response
    Chen, Ping
    Han, Lu
    Ren, Hui
    Zhang, Aiwei
    2020 IEEE STUDENT CONFERENCE ON ELECTRIC MACHINES AND SYSTEMS (SCEMS 2020), 2020, : 813 - 818
  • [2] Game Theory Based Optimal Pricing Strategy for V2G Participating in Demand Response
    Chen, Ping
    Han, Lu
    Xin, Guoyu
    Zhang, Aiwei
    Ren, Hui
    Wang, Fei
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2023, 59 (04) : 4673 - 4683
  • [3] Revenue optimization strategy of V2G based on evolutionary game; [基于演化博弈的V2G收益优化策略]
    Lin G.
    Feng X.
    Lu S.
    Journal of Southeast University (English Edition), 2020, 36 (01) : 50 - 55
  • [4] Demand Response Capability of V2G Based Electric Vehicles in Distribution Networks
    Liu, Yu
    Gao, Shan
    Zhao, Xin
    Han, Song
    Wang, Haiqian
    Zhang, Qun
    2017 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2017,
  • [5] Energy Management Optimization Strategy for Industrial Enterprises Based on Demand Response
    Song, Yuexin
    Cheng, Xingong
    Zhang, Yongfeng
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 1267 - 1272
  • [6] A cooperative demand response strategy based on repeated game and cartel mechanism
    Yang, Jie
    Ma, Tieding
    Ma, Kai
    Tian, Zhenhua
    Zheng, Qian
    ELECTRIC POWER SYSTEMS RESEARCH, 2021, 201
  • [7] A novel Pricing Policy for G2V and V2G Services
    Abd Eldjalil, Chekired Djabir
    Said, Dhaou
    Khoukhi, Lyes
    Mouftah, Hussein T.
    2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2017, : 634 - 635
  • [8] A Game-Theoretic Analysis of Pricing Competition between Aggregators in V2G Systems
    Hasan, M. G. M. Mehedi
    Rahman, Mohammad Ashiqur
    Manshaei, Mohammad Hossein
    Saad, Walid
    2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 1, 2019, : 549 - 558
  • [9] On Stability and Robustness of Demand Response in V2G Mobile Energy Networks
    Zhong, Weifeng
    Yu, Rong
    Xie, Shengli
    Zhang, Yan
    Yau, David K. Y.
    IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (04) : 3203 - 3212
  • [10] Cooperative Load Sharing in V2G Application
    Mahmud, Rasel
    Nejadpak, Arash
    Ahmadi, Reza
    2015 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2015, : 451 - 456