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

Author

Listed:
  • Jin Zhang

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

  • Cungang Hu

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
    Collaborative Innovation Center of Industrial Energy-saving and Power Quality Control, Anhui University, Hefei 230601, China)

  • Changbao Zheng

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
    Collaborative Innovation Center of Industrial Energy-saving and Power Quality Control, Anhui University, Hefei 230601, China)

  • Tao Rui

    (Collaborative Innovation Center of Industrial Energy-saving and Power Quality Control, Anhui University, Hefei 230601, China
    School of Internet, Anhui University, Hefei 230601, China)

  • Weixiang Shen

    (Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

  • Bo Wang

    (State Grid Anhui Dispatching and Control Center, No.9 Huangshan Road, Hefei 230069, China)

Abstract

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 × 12 km 2 distribution system, and the results verify its effectiveness.

Suggested Citation

  • Jin Zhang & Cungang Hu & Changbao Zheng & Tao Rui & Weixiang Shen & Bo Wang, 2019. "Distributed Peer-to-Peer Electricity Trading Considering Network Loss in a Distribution System," Energies, MDPI, vol. 12(22), pages 1-18, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4318-:d:286368
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    References listed on IDEAS

    as
    1. Nash, John, 1950. "The Bargaining Problem," Econometrica, Econometric Society, vol. 18(2), pages 155-162, April.
    2. Zhou, Yue & Wu, Jianzhong & Long, Chao, 2018. "Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework," Applied Energy, Elsevier, vol. 222(C), pages 993-1022.
    3. Zhang, Ni & Yan, Yu & Su, Wencong, 2015. "A game-theoretic economic operation of residential distribution system with high participation of distributed electricity prosumers," Applied Energy, Elsevier, vol. 154(C), pages 471-479.
    4. Fan, Songli & Ai, Qian & Piao, Longjian, 2018. "Bargaining-based cooperative energy trading for distribution company and demand response," Applied Energy, Elsevier, vol. 226(C), pages 469-482.
    5. Zhang, Chenghua & Wu, Jianzhong & Zhou, Yue & Cheng, Meng & Long, Chao, 2018. "Peer-to-Peer energy trading in a Microgrid," Applied Energy, Elsevier, vol. 220(C), pages 1-12.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K. & Yuen, Chau & Smith, David, 2022. "Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    2. Schwidtal, J.M. & Piccini, P. & Troncia, M. & Chitchyan, R. & Montakhabi, M. & Francis, C. & Gorbatcheva, A. & Capper, T. & Mustafa, M.A. & Andoni, M. & Robu, V. & Bahloul, M. & Scott, I.J. & Mbavarir, 2023. "Emerging business models in local energy markets: A systematic review of peer-to-peer, community self-consumption, and transactive energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    3. Koo-Hyung Chung & Don Hur, 2020. "Towards the Design of P2P Energy Trading Scheme Based on Optimal Energy Scheduling for Prosumers," Energies, MDPI, vol. 13(19), pages 1-15, October.
    4. Capper, Timothy & Gorbatcheva, Anna & Mustafa, Mustafa A. & Bahloul, Mohamed & Schwidtal, Jan Marc & Chitchyan, Ruzanna & Andoni, Merlinda & Robu, Valentin & Montakhabi, Mehdi & Scott, Ian J. & Franci, 2022. "Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    5. Arnob Das & Susmita Datta Peu & Md. Abdul Mannan Akanda & Abu Reza Md. Towfiqul Islam, 2023. "Peer-to-Peer Energy Trading Pricing Mechanisms: Towards a Comprehensive Analysis of Energy and Network Service Pricing (NSP) Mechanisms to Get Sustainable Enviro-Economical Energy Sector," Energies, MDPI, vol. 16(5), pages 1-27, February.

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