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Research on Real-Time Trading Mechanism of Photovoltaic Microgrid Based on the Consortium Blockchain

Author

Listed:
  • Liangjiang Wei

    (School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China)

  • Wei Jian

    (School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China)

  • Baochuan Fu

    (School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China)

  • Baoping Jiang

    (School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China)

Abstract

With the popularity of solar Photovoltaic (PV) power generation, the real-time interaction between distributed microgrids and large grids has become a new hotspot of concern. In distributed PV power trading, we aim to achieve a dynamic balance between PV users and the grid. This involves real-time power prediction for users, secure blockchain-based recording and protection of trading data, and efficient matching of microgrid and large-grid trading information, including pricing details. System simulations and experimental data analysis have demonstrated the benefits of this transaction model, including enhanced real-time interaction between microgrid and grid. For the buyer, the cost of purchasing electricity can be reduced by about 6%, and for the seller, the income from selling electricity is 1.5 times that of direct Internet access, which has positive significance in improving the income from selling electricity and reducing the cost of electricity for users.

Suggested Citation

  • Liangjiang Wei & Wei Jian & Baochuan Fu & Baoping Jiang, 2023. "Research on Real-Time Trading Mechanism of Photovoltaic Microgrid Based on the Consortium Blockchain," Energies, MDPI, vol. 16(23), pages 1-14, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7691-:d:1284567
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    References listed on IDEAS

    as
    1. Yang, Qing & Wang, Hao & Wang, Taotao & Zhang, Shengli & Wu, Xiaoxiao & Wang, Hui, 2021. "Blockchain-based decentralized energy management platform for residential distributed energy resources in a virtual power plant," Applied Energy, Elsevier, vol. 294(C).
    2. Siqin, Zhuoya & Niu, DongXiao & Li, MingYu & Gao, Tian & Lu, Yifan & Xu, Xiaomin, 2022. "Distributionally robust dispatching of multi-community integrated energy system considering energy sharing and profit allocation," Applied Energy, Elsevier, vol. 321(C).
    3. Zia, Muhammad Fahad & Elbouchikhi, Elhoussin & Benbouzid, Mohamed, 2018. "Microgrids energy management systems: A critical review on methods, solutions, and prospects," Applied Energy, Elsevier, vol. 222(C), pages 1033-1055.
    4. Hua, Weiqi & Jiang, Jing & Sun, Hongjian & Teng, Fei & Strbac, Goran, 2022. "Consumer-centric decarbonization framework using Stackelberg game and Blockchain," Applied Energy, Elsevier, vol. 309(C).
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