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Blockchain-Based Power Transaction Method for Active Distribution Network

Fei Zeng1, Zhinong Wei1, Haiteng Han1,*, Yang Chen2

1 College of Energy and Electrical Engineering, Hohai University, Nanjing, 211100, China
2 School of Microelectronics and Control Engineering, Changzhou University, Changzhou, 213164, China

* Corresponding Author: Haiteng Han. Email: email

Energy Engineering 2023, 120(5), 1067-1080. https://doi.org/10.32604/ee.2023.022479

Abstract

A blockchain-based power transaction method is proposed for Active Distribution Network (ADN), considering the poor security and high cost of a centralized power trading system. Firstly, the decentralized blockchain structure of the ADN power transaction is built and the transaction information is kept in blocks. Secondly, considering the transaction needs between users and power suppliers in ADN, an energy request mechanism is proposed, and the optimization objective function is designed by integrating cost aware requests and storage aware requests. Finally, the particle swarm optimization algorithm is used for multi-objective optimal search to find the power trading scheme with the minimum power purchase cost of users and the maximum power sold by power suppliers. The experimental demonstration of the proposed method based on the experimental platform shows that when the number of participants is no more than 10, the transaction delay time is 0.2 s, and the transaction cost fluctuates at 200,000 yuan, which is better than other comparison methods.

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APA Style
Zeng, F., Wei, Z., Han, H., Chen, Y. (2023). Blockchain-based power transaction method for active distribution network. Energy Engineering, 120(5), 1067-1080. https://doi.org/10.32604/ee.2023.022479
Vancouver Style
Zeng F, Wei Z, Han H, Chen Y. Blockchain-based power transaction method for active distribution network. Energ Eng. 2023;120(5):1067-1080 https://doi.org/10.32604/ee.2023.022479
IEEE Style
F. Zeng, Z. Wei, H. Han, and Y. Chen "Blockchain-Based Power Transaction Method for Active Distribution Network," Energ. Eng., vol. 120, no. 5, pp. 1067-1080. 2023. https://doi.org/10.32604/ee.2023.022479



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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