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“Peer-to-Peer Plus” Electricity Transaction within Community of Active Energy Agents Regarding Distribution Network Constraints

Author

Listed:
  • Min Fu

    (School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China)

  • Zhiyu Xu

    (School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China)

  • Ning Wang

    (Institute of Bigdata and Informatization, Tongji University, Shanghai 200092, China)

  • Xiaoyu Lyu

    (School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China)

  • Weisheng Xu

    (School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
    Institute of Bigdata and Informatization, Tongji University, Shanghai 200092, China)

Abstract

This paper proposes the concept “active energy agent (AEA)” to characterize the autonomous and interactive entities of power system. The future distribution network is a peer-to-peer (P2P) community based on numbers of AEAs. A two-stage “P2P Plus” mechanism is developed to address the electricity transaction within AEA community. In the first “P2P” stage, electricity is directly traded among AEAs via P2P price bidding. The model of P2P transaction is established, and the method of multi-dimensional willingness is adopted in price bidding. In the second “Plus” stage, the centralized coordination by distribution company (DisCo) is formulated as a constrained optimization problem, in which the objective is to maximize profit and the constraints are the basic rights of AEAs and line ratings of distribution network. A 30-bus test system including 29 AEAs and main grid is investigated. Numeric simulation results verify the effectiveness of the proposed models and methods regarding flow constraint. Comparative study reveals the economic motivations of AEAs to participate in P2P transaction, the efficiency of combined search, and the benefit of DisCo from pricing control.

Suggested Citation

  • Min Fu & Zhiyu Xu & Ning Wang & Xiaoyu Lyu & Weisheng Xu, 2020. "“Peer-to-Peer Plus” Electricity Transaction within Community of Active Energy Agents Regarding Distribution Network Constraints," Energies, MDPI, vol. 13(9), pages 1-23, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2408-:d:356751
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    References listed on IDEAS

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    Cited by:

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    2. 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).
    3. Bogdan-Constantin Neagu & Ovidiu Ivanov & Gheorghe Grigoras & Mihai Gavrilas & Dumitru-Marcel Istrate, 2020. "New Market Model with Social and Commercial Tiers for Improved Prosumer Trading in Microgrids," Sustainability, MDPI, vol. 12(18), pages 1-43, September.
    4. Bidan Zhang & Yang Du & Xiaoyang Chen & Eng Gee Lim & Lin Jiang & Ke Yan, 2022. "Potential Benefits for Residential Building with Photovoltaic Battery System Participation in Peer-to-Peer Energy Trading," Energies, MDPI, vol. 15(11), pages 1-21, May.
    5. 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.
    6. Yaxin Tan & Zhiyu Xu & Weisheng Xu, 2022. "A Two-Phase Hybrid Trading of Green Certificate under Renewables Portfolio Standards in Community of Active Energy Agents," Energies, MDPI, vol. 15(19), pages 1-17, September.
    7. 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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