Uncertainty-aware prosumer coalitional game for peer-to-peer energy trading in community microgrids

被引:1
|
作者
Huang, Da-Wen [1 ]
Luo, Fengji [2 ]
Bi, Jichao [3 ,4 ]
机构
[1] Sichuan Normal Univ, Coll Comp Sci, Chengdu 610066, Peoples R China
[2] Univ Sydney, Sch Civil Engn, Sydney, NSW 2006, Australia
[3] Chongqing Univ, Sch Big Data & Software Engn, Chongqing 400044, Peoples R China
[4] Zhejiang Inst Ind & Informat Technol, Hangzhou 310012, Peoples R China
基金
澳大利亚研究理事会; 中国国家自然科学基金;
关键词
Peer -to -peer energy trading; Coalitional game; Shapley value; Microgrid; MARKETS;
D O I
10.1016/j.ijepes.2024.110021
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
Increasingly deployment of distributed renewable energy sources has driven the emergence of peer-to-peer (P2P) energy trading, which refers to trading energy directly among the end energy customers. This paper studies the feasibility and mechanism of establishing cooperation among different types of energy prosumers in a community microgrid environment with uncertainty. In particular, a coalitional game-based P2P energy trading framework is proposed, through which participating prosumers are enabled to form a coalition to share the energy trading profit by sufficiently considering the renewable energy and load uncertainties. To incentivize prosumers to participate in energy trading cooperation, some contract constraint rules are designed to ensure that the risk of the prosumer energy systems is controllable, and a theoretical analysis framework is presented to strictly prove the benefit of the prosumer coalition. A Shapely value-based payoff distribution scheme is designed to allocate profit for each prosumer in the coalition. Comprehensive numerical simulation is conducted to validate the proposed method.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Integration of prosumer peer-to-peer trading decisions into energy community modelling
    Pena-Bello, Alejandro
    Parra, David
    Herberz, Mario
    Tiefenbeck, Verena
    Patel, Martin K.
    Hahnel, Ulf J. J.
    NATURE ENERGY, 2022, 7 (01) : 74 - 82
  • [2] Integration of prosumer peer-to-peer trading decisions into energy community modelling
    Alejandro Pena-Bello
    David Parra
    Mario Herberz
    Verena Tiefenbeck
    Martin K. Patel
    Ulf J. J. Hahnel
    Nature Energy, 2022, 7 : 74 - 82
  • [3] A peer-to-peer energy trading model for community microgrids with energy management
    Ravivarma, K.
    Lokeshgupta, B.
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2024, 17 (04) : 2538 - 2554
  • [4] A peer-to-peer energy trading model for community microgrids with energy management
    Ravivarma, K.
    Lokeshgupta, B.
    Peer-to-Peer Networking and Applications, 2024,
  • [5] Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model
    Paudel, Amrit
    Chaudhari, Kalpesh
    Long, Chao
    Gooi, Hoay Beng
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (08) : 6087 - 6097
  • [6] Incentivizing Peer-to-Peer Energy Trading in Microgrids
    Noori, Amir
    Tavassoli, Babak
    Fereidunian, Alireza
    2021 29TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2021, : 323 - 328
  • [7] A Robust Decentralized Peer-to-Peer Energy Trading in Community of Flexible Microgrids
    Saatloo, Amin Mansour
    Mirzaei, Mohammad Amin
    Mohammadi-Ivatloo, Behnam
    IEEE SYSTEMS JOURNAL, 2023, 17 (01): : 640 - 651
  • [8] Transmission Loss-Aware Peer-to-Peer Energy Trading in Networked Microgrids
    Zhu, Hailing
    Ouahada, Khmaies
    Abu-Mahfouz, Adnan M.
    IEEE ACCESS, 2022, 10 : 126352 - 126369
  • [9] Peer-to-Peer transactive energy trading of multiple microgrids considering renewable energy uncertainty
    Yan, Xingyu
    Song, Meng
    Cao, Jiacheng
    Gao, Ciwei
    Jing, Xinyi
    Xia, Shiwei
    Ban, Mingfei
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 152
  • [10] Bilateral Peer-to-Peer Energy Trading via Coalitional Games
    Raja, Aitazaz Ali
    Grammatico, Sergio
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (05) : 6814 - 6824