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Blockchain-Based Joint Auction Model for Distributed Energy in Industrial Park Microgrids

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Listed:
  • Li Wang

    (Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Guangzhou 510510, China)

  • Zihao Zhang

    (China Southern Power Grid Digital Power Grid Research Institute Co., Ltd., Guangzhou 510700, China)

  • Jinheng Fan

    (Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Guangzhou 510510, China)

  • Shunqi Zeng

    (Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Guangzhou 510510, China)

  • Shixian Pan

    (China Southern Power Grid Digital Power Grid Research Institute Co., Ltd., Guangzhou 510700, China)

  • Haoyong Chen

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China)

Abstract

To address the centralized trading demand within industrial parks and the scattered peer-to-peer trading demand outside industrial parks, this paper proposes a blockchain-based joint auction architecture for distributed energy in microgrids inside and outside industrial parks. By combining blockchain technology and auction theory, the architecture integrates the physical energy transactions within industrial parks with the distributed transactions in external microgrids to meet the centralized trading demand within industrial parks and the scattered peer-to-peer trading demand outside industrial parks, optimizing resource allocation and improving system resilience. In the microgrid auction mechanism for industrial parks, considering distributed energy providers (sellers) and distributed energy buyers, an auction mechanism with power transmission distance, average electricity price, and enterprise nature as its main attributes was constructed to maximize social welfare, realizing efficient energy flow in a multi-microgrid environment and enabling coordinated mutual benefits for producers and consumers within the region. Finally, a case study was conducted on the joint auction mechanism for microgrids inside and outside industrial parks, including the impacts of market dynamics and user preferences on electricity prices using different trading methods, the computational results using different trading matching methods (comparing single-attribute and multi-attribute methods), and multi-dimensional verification of user satisfaction with peer-to-peer transactions in a blockchain environment. The effectiveness of the joint trading between physical energy transactions within industrial parks and external microgrids was demonstrated, which could efficiently coordinate energy allocation inside and outside the parks and reduce the cost of energy configuration.

Suggested Citation

  • Li Wang & Zihao Zhang & Jinheng Fan & Shunqi Zeng & Shixian Pan & Haoyong Chen, 2024. "Blockchain-Based Joint Auction Model for Distributed Energy in Industrial Park Microgrids," Energies, MDPI, vol. 17(13), pages 1-15, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3140-:d:1422150
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    References listed on IDEAS

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    1. Jiang, Yanni & Zhou, Kaile & Lu, Xinhui & Yang, Shanlin, 2020. "Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment," Applied Energy, Elsevier, vol. 271(C).
    2. Chen, Kaixuan & Lin, Jin & Song, Yonghua, 2019. "Trading strategy optimization for a prosumer in continuous double auction-based peer-to-peer market: A prediction-integration model," Applied Energy, Elsevier, vol. 242(C), pages 1121-1133.
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