A hierarchical game framework for peer-to-peer energy trading in distribution networks considering the participation of prosumers

被引:0
|
作者
Song, Zhenhao [1 ]
Lv, Zhipeng [1 ]
Jia, Bingjian [2 ]
Li, Hao [1 ]
Yang, Fei [1 ]
机构
[1] State Grid Energy Internet Res Inst Co Ltd, Shanghai, Peoples R China
[2] Xinjiang Informat Ind Co Ltd, Urumqi, Peoples R China
来源
FRONTIERS IN ENERGY RESEARCH | 2024年 / 12卷
关键词
hierarchical framework; fixed point mapping; peer-to-peer energy trading; distribution network; prosumers; STRATEGY;
D O I
10.3389/fenrg.2024.1420039
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
The advent of the peer-to-peer energy trading has dramatically altered the conventional dynamics of distribution networks. Prosumers, managing independently and engaging in peer-to-peer (P2P) energy exchanges, introduce critical challenges for the economical and secure operations of these networks. This research presents a hierarchical framework designed to manage P2P energy interactions between prosumers and to facilitate flexible operation within the distribution network at the substation level. The upper layer of the model aims to stabilize market prices within the distribution framework, while the lower layer establishes a P2P energy trading platform that upholds fairness and safeguards the privacy of the prosumer participants. A fixed-point mapping approach is utilized to assess the interactions between market stabilization efforts and prosumer bidding strategies within this framework. Through simulations, we illustrate the logical soundness and effectiveness of our proposed model and approach. The findings indicate that the proposed model and the energy trading framework could substantially improve the overall welfare of all stakeholders involved.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Peer-to-peer Energy Trading for Smart Energy Communities
    Denysiuk, Roman
    Lilliu, Fabio
    Recupero, Diego Reforgiato
    Vinyals, Meritxell
    ICAART: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, 2020, : 40 - 49
  • [42] Peer-to-Peer Energy Trading in a Community Microgrid
    Long, Chao
    Wu, Jianzhong
    Zhang, Chenghua
    Thomas, Lee
    Cheng, Meng
    Jenkins, Nick
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [43] 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
  • [44] Smart Grid 2.0: Modeling Peer-to-Peer Trading Community and Incentives for Prosumers in the Transactive Energy Grid
    Khayyat, Manal Mahmoud
    Ben Slama, Sami
    ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2024, 14 (02) : 13470 - 13480
  • [45] Distributed peer-to-peer energy trading based on game theory in a community microgrid considering ownership complexity of distributed energy resources
    Luo, Xi
    Shi, Wence
    Jiang, Yusen
    Liu, Yanfeng
    Xia, Jinwen
    JOURNAL OF CLEANER PRODUCTION, 2022, 351
  • [46] Design and Simulation of Peer-to-Peer Energy Trading Framework with Dynamic Electricity Price
    Zhang, Bidan
    Du, Yang
    Lim, Eng Gee
    Jiang, Lin
    Yan, Ke
    2019 29TH AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2019,
  • [47] A blockchain based peer-to-peer trading framework integrating energy and carbon markets
    Hua, Weiqi
    Jiang, Jing
    Sun, Hongjian
    Wu, Jianzhong
    APPLIED ENERGY, 2020, 279 (279)
  • [48] BPET: A Unified Blockchain-Based Framework for Peer-to-Peer Energy Trading
    Fan, Caixiang
    Khazaei, Hamzeh
    Musilek, Petr
    FUTURE INTERNET, 2024, 16 (05)
  • [49] Peer-to-Peer Energy Trading among Microgrids with Multidimensional Willingness
    Wang, Ning
    Xu, Weisheng
    Xu, Zhiyu
    Shao, Weihui
    ENERGIES, 2018, 11 (12)
  • [50] Peer-to-Peer Energy Trading of Carbon-Aware Prosumers: An Online Accelerated Distributed Approach With Differential Privacy
    Wei, Xuan
    Xu, Yinliang
    Sun, Hongbin
    Chan, Wai Kin
    IEEE TRANSACTIONS ON SMART GRID, 2024, 15 (06) : 5595 - 5609