Distributed Peer-to-Peer Electricity Trading Considering Network Loss in a Distribution System

被引:11
|
作者
Zhang, Jin [1 ]
Hu, Cungang [1 ,2 ]
Zheng, Changbao [1 ,2 ]
Rui, Tao [2 ,3 ]
Shen, Weixiang [4 ]
Wang, Bo [5 ]
机构
[1] Anhui Univ, Sch Elect Engn & Automat, Hefei 230601, Anhui, Peoples R China
[2] Anhui Univ, Collaborat Innovat Ctr Ind Energy Saving & Power, Hefei 230601, Anhui, Peoples R China
[3] Anhui Univ, Sch Internet, Hefei 230601, Anhui, Peoples R China
[4] Swinburne Univ Technol, Fac Sci Engn & Technol, Melbourne, Vic 3122, Australia
[5] State Grid Anhui Dispatching & Control Ctr, 9 Huangshan Rd, Hefei 230069, Anhui, Peoples R China
关键词
P2P electricity trading; microgrid; load aggregator; Nash bargaining; alternating direction method of multipliers; DEMAND RESPONSE;
D O I
10.3390/en12224318
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
In this paper, a distributed peer-to-peer (P2P) electricity trading model was proposed to study economic interactions between load aggregators (LAs) and microgrid operators (MGOs) considering network losses in a distribution system. In this model, the economic interactions among market participants were formulated as a Nash bargaining game, where LAs and MGOs can bargain with each other on the trading volume of electricity and payment. To achieve the Nash bargaining solution, the game was divided into two sub-problems: social welfare maximization and payment bargaining. Then, the alternating direction method of multipliers was used to solve the two sub-problems with limited information exchange. Finally, we tested the proposed model on a 12 x 12 km(2) distribution system, and the results verify its effectiveness.
引用
下载
收藏
页数:18
相关论文
共 50 条
  • [1] Distributed photovoltaics with peer-to-peer electricity trading
    Li Z.
    Ma T.
    Energy and Built Environment, 2022, 3 (04): : 424 - 432
  • [2] Peer-to-peer electricity trading considering voltage-constrained adjustment and loss allocation in blockchain-enabled distribution network
    Xu, Lun
    Wang, Beibei
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 152
  • [3] Distribution Loss Allocation in Peer-to-Peer Energy Trading in a Network of Microgrids
    Bai, Li
    Crisostomi, Emanuele
    2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [4] Peer-to-Peer Electricity Trading of Interconnected Flexible Distribution Networks Based on Distributed Ledger
    Ji, Haoran
    Jian, Jie
    Yu, Hao
    Ji, Jie
    Wei, Mingjiang
    Zhang, Xinmin
    Li, Peng
    Yan, Jinyue
    Wang, Chengshan
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (09) : 5949 - 5960
  • [5] Strategic Peer-to-peer Energy Trading Framework Considering Distribution Network Constraints
    Yanbo Jia
    Can Wan
    Biao Li
    Journal of Modern Power Systems and Clean Energy, 2023, 11 (03) : 770 - 780
  • [6] Strategic Peer-to-peer Energy Trading Framework Considering Distribution Network Constraints
    Jia, Yanbo
    Wan, Can
    Li, Biao
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2023, 11 (03) : 770 - 780
  • [7] Multi-microgrids distributed peer-to-peer energy trading in distribution system considering uncertainty risk
    Wu, Junyong
    Zhao, Pengjie
    Li, Lusu
    Shi, Fashun
    Li, Baoqin
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 152
  • [8] Enabling peer-to-peer electricity trading
    Murkin, Jordan
    Chitchyan, Ruzanna
    Byrne, Alastair
    PROCEEDINGS OF ICT FOR SUSTAINABILITY 2016, 2016, 46 : 234 - 235
  • [9] Peer-to-peer resource trading in a reliable distributed system
    Cooper, BF
    Garcia-Molina, H
    PEER-TO-PEER SYSTEMS, 2002, 2429 : 319 - 327
  • [10] Distribution network congestion management considering time sequence of peer-to-peer energy trading
    Zhou, Wei
    Wang, Yuying
    Peng, Feixiang
    Liu, Ying
    Sun, Hui
    Cong, Yu
    International Journal of Electrical Power and Energy Systems, 2022, 136