Asymmetric Nash bargaining model for peer-to-peer energy transactions combined with shared energy storage

被引:27
|
作者
Chen, Yujia [1 ,2 ]
Pei, Wei [1 ,2 ]
Ma, Tengfei [2 ]
Xiao, Hao [2 ]
机构
[1] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[2] Chinese Acad Sci, Inst Elect Engn, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
P2P energy Trading; Shared energy storage; Asymmetric Nash bargaining; Bargaining power; FRAMEWORK; MANAGEMENT; MECHANISM;
D O I
10.1016/j.energy.2023.127980
中图分类号
O414.1 [热力学];
学科分类号
摘要
Distributed peer-to-peer (P2P) energy trading can promote the localized balancing of power supply and demand, improve grid utilization efficiency, and ensure fairness. Shared energy storage (SES) enables users to withdraw electrical energy from shared batteries. This paper proposes a P2P energy trading model combined with SES and studies a cooperative surplus distribution mechanism based on the asymmetric Nash bargaining (ANB) theory. First, a cooperative model is established for enabling cooperation among sellers and buyers in a P2P energy trading system, offering a cooperative surplus due to cooperation. Secondly, by using the Asymmetric Nash Bargaining theory, a profit distribution model for the participants is constructed to ensure that the cooperation surplus can be fairly distributed among buyers and sellers. Finally, case studies are presented to verify the effectiveness of the proposed model. The simulation results show that the proposed cooperative method can improve the benefits of each entity and the overall benefits of the cooperative alliance. The proposed profit distribution model can reflect the difference in the contributions of sellers and buyers in the P2P energy trading system and fairly distribute the cooperation surplus. Furthermore, SES can improve the overall economics of DGs and consumers.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Asymmetric Nash bargaining model for operation optimization of multi-integrated energy systems considering peer-to-peer energy trading
    Yang, Meng
    Liu, Yisheng
    Kobashi, Takuro
    SUSTAINABLE CITIES AND SOCIETY, 2024, 114
  • [2] Peer-to-peer transactive mechanism for residential shared energy storage
    Zhang, Wen-Yi
    Zheng, Boshen
    Wei, Wei
    Chen, Laijun
    Mei, Shengwei
    ENERGY, 2022, 246
  • [3] A peer-to-peer energy trading market embedded with residential shared energy storage units
    Zheng, Boshen
    Wei, Wei
    Chen, Yue
    Wu, Qiuwei
    Mei, Shengwei
    APPLIED ENERGY, 2022, 308
  • [4] Optimized shared energy storage in a peer-to-peer energy trading market: Two-stage strategic model regards bargaining and evolutionary game theory
    He, Ye
    Wu, Hongbin
    Wu, Andrew Y.
    Li, Peng
    Ding, Ming
    RENEWABLE ENERGY, 2024, 224
  • [5] Coordinated Optimization of Virtual Power Plants Based on Peer-to-Peer Transactions and Nash Bargaining Approach
    Li, Jie
    Guo, Jianwei
    Li, Xue
    Liang, Wenteng
    Zhang, Jiannan
    Yang, Bin
    Liang, Fang
    Yu, Xiao
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2024, 2024
  • [6] Peer-to-Peer Market with Energy Storage Systems
    Chernova, Tatiana
    Gryazina, Elena
    2021 IEEE MADRID POWERTECH, 2021,
  • [7] Framework of Transactive Energy Market Strategies for Lucrative Peer-to-Peer Energy Transactions
    Loganathan, Arun S. S.
    Ramachandran, Vijayapriya
    Perumal, Angalaeswari Sendraya
    Dhanasekaran, Seshathiri
    Lakshmaiya, Natrayan
    Paramasivam, Prabhu
    ENERGIES, 2023, 16 (01)
  • [8] Peer-to-peer multi-energy distributed trading for interconnected microgrids: A general Nash bargaining approach
    Shuai Xuanyue
    Wang, Xiuli
    Wu, Xiong
    Wang, Yifei
    Song, Zhenzi
    Wang, Bangyan
    Ma, Zhicheng
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 138
  • [9] Equilibrium analysis of a peer-to-peer energy trading market with shared energy storage in a power transmission grid
    Zhang, Wen-Yi
    Chen, Yue
    Wang, Yi
    Xu, Yunjian
    ENERGY, 2023, 274
  • [10] VirtElect: A Peer-to-Peer Trading Platform for Local Energy Transactions
    Jogunola, Olamide
    Tsado, Yakubu
    Adebisi, Bamidele
    Hammoudeh, Mohammad
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (08) : 6121 - 6133