Peer-to-Peer Energy Trading among Microgrids with Multidimensional Willingness

被引:70
|
作者
Wang, Ning [1 ]
Xu, Weisheng [1 ]
Xu, Zhiyu [1 ]
Shao, Weihui [2 ]
机构
[1] Tongji Univ, Sch Elect & Informat Engn, Shanghai 201804, Peoples R China
[2] Tongji Univ, Educ Technol & Comp Ctr, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
microgrids; distributed energy resource; peer-to-peer energy trading; multidimensional willingness; bidding strategy; RESOURCE; OPTIMIZATION; NETWORKS; STRATEGY;
D O I
10.3390/en11123312
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
Networked microgrids are emerging for coordinating distributed energy resources in distribution networks in the future Energy Internet, for which developing an efficient energy market model is crucial for facilitating multi-directional trading among microgrids. In this paper, a peer-to-peer energy trading mechanism is presented using non-cooperative bidding among microgrids. Multidimensional willingness, including time pressure and counter behavior for mimicking the personalized behaviors of microgrids, was taken into account in the design of the bidding strategy. Under a parallel trading framework based on a blockchain, the proposed multidimensional willingness bidding strategy turns out to be able to make rational decisions with sufficient flexibility in the bidding process. The simulation results of a realistic case of microgrids from Guizhou Province, China, validate that the proposed peer-to-peer energy trading mechanism is capable of raising the microgrids' profits and renewable energy source utilization.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Peer-to-peer electricity-hydrogen energy trading for multi-microgrids based on purification sharing mechanism
    Bo, Yaolong
    Xia, Yanghong
    Wei, Wei
    Li, Zichen
    Zhou, Yongzhi
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 150
  • [42] Peer-to-peer energy trading among smart homes considering responsive demand and interactive visual interface for monitoring
    Gorgulu, Hamza
    Topcuoglu, Yusuf
    Yaldiz, Abdurahman
    Gokcek, Tayfur
    Ates, Yavuz
    Erdinc, Ozan
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 29
  • [43] Optimal sizing of RES and BESS in networked microgrids based on proportional peer-to-peer and peer-to-grid energy trading
    Lokesh, Vankudoth
    Badar, Altaf Q. H.
    ENERGY STORAGE, 2023, 5 (07)
  • [44] Decentralized energy management of a hybrid building cluster via peer-to-peer transactive energy trading
    Ying, Chenhao
    Zou, Yunyang
    Xu, Yan
    APPLIED ENERGY, 2024, 372
  • [45] Hybrid trading scheme for peer-to-peer energy trading in transactive energy markets
    Khorasany, Mohsen
    Mishra, Yateendra
    Ledwich, Gerard
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (02) : 245 - 253
  • [46] Prosumers Matching and Least-Cost Energy Path Optimisation for Peer-to-Peer Energy Trading
    Jogunola, Olamide
    Wang, Weizhuo
    Adebisi, Bamidele
    IEEE ACCESS, 2020, 8 : 95266 - 95277
  • [47] A Novel Multi-Hierarchical Bidding Strategy for Peer-to-Peer Energy Trading Among Communities
    Gokcek, Tayfur
    Sengor, Ibrahim
    Erdinc, Ozan
    IEEE ACCESS, 2022, 10 : 23798 - 23807
  • [48] Peer-to-Peer energy trading considering the output uncertainty of distributed energy resources
    Xia, Yuanxing
    Xu, Qingshan
    Qian, Haiya
    Cai, Li
    ENERGY REPORTS, 2022, 8 : 567 - 574
  • [49] Peer-to-Peer Transactive Energy Trading of a Reconfigurable Multi-Energy Network
    Zou, Yunyang
    Xu, Yan
    Feng, Xue
    Nguyen, Hung D.
    IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (03) : 2236 - 2249
  • [50] Hierarchical Hybrid Multi-Agent Deep Reinforcement Learning for Peer-to-Peer Energy Trading Among Multiple Heterogeneous Microgrids
    Wu, Yuxin
    Zhao, Tianyang
    Yan, Haoyuan
    Liu, Min
    Liu, Nian
    IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (06) : 4649 - 4665