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Microgrid Group Trading Model and Solving Algorithm Based on Blockchain

Author

Listed:
  • Zixiao Xu

    (Automation engineering college, Northwestern Polytechnical University, Xi’an 710072, China
    College of Information and Electrical Engineering，China Agricultural University, Bejing 100083, China)

  • Dechang Yang

    (College of Information and Electrical Engineering，China Agricultural University, Bejing 100083, China)

  • Weilin Li

    (Automation engineering college, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

With the development of the energy Internet and the integration of multi-type energy situations, it is of great significance to study the competition game of a multi-agent microgrid group system for its development. As an emerging distributed database technology, blockchain technology has great application potential in the field of energy trading. Firstly, blockchain technology is coupled with the microgrid group transaction, and the information flow transaction model of a microgrid group based on blockchain technology is established. Aiming at this complex multi-objective optimization problem, an improved ant colony optimization algorithm is proposed to solve the model. Finally, the competitive trading model and solving algorithm are simulated and analyzed. The relevant results show that the near global optimum price strategy of each time based on the proposed model can effectively balance the efficiency of each subject in the market. In addition, the model ensures that there is no high-income and low-cost phenomenon in the trading process, therefore the security and quality of the market are guaranteed.

Suggested Citation

  • Zixiao Xu & Dechang Yang & Weilin Li, 2019. "Microgrid Group Trading Model and Solving Algorithm Based on Blockchain," Energies, MDPI, vol. 12(7), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1292-:d:219914
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    References listed on IDEAS

    as
    1. Marzband, Mousa & Azarinejadian, Fatemeh & Savaghebi, Mehdi & Pouresmaeil, Edris & Guerrero, Josep M. & Lightbody, Gordon, 2018. "Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations," Renewable Energy, Elsevier, vol. 126(C), pages 95-106.
    2. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
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    Citations

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    Cited by:

    1. Xiuli Wang & Fang Yao & Fushuan Wen, 2022. "Applications of Blockchain Technology in Modern Power Systems: A Brief Survey," Energies, MDPI, vol. 15(13), pages 1-22, June.
    2. Zheng Che & Yu Wang & Juanjuan Zhao & Yan Qiang & Yue Ma & Jihua Liu, 2019. "A Distributed Energy Trading Authentication Mechanism Based on a Consortium Blockchain," Energies, MDPI, vol. 12(15), pages 1-21, July.
    3. Rodrigues, Stefane Dias & Garcia, Vinicius Jacques, 2023. "Transactive energy in microgrid communities: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. Younes Zahraoui & Tarmo Korõtko & Argo Rosin & Hannes Agabus, 2023. "Market Mechanisms and Trading in Microgrid Local Electricity Markets: A Comprehensive Review," Energies, MDPI, vol. 16(5), pages 1-52, February.
    5. Wenting Zhao & Jun Lv & Xilong Yao & Juanjuan Zhao & Zhixin Jin & Yan Qiang & Zheng Che & Chunwu Wei, 2019. "Consortium Blockchain-Based Microgrid Market Transaction Research," Energies, MDPI, vol. 12(20), pages 1-22, October.

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