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Peer-to-Peer Energy Trading Method of Multi-Virtual Power Plants Based on Non-Cooperative Game

Jingjing Bai*, Hongyi Zhou, Zheng Xu, Yu Zhong

Yancheng Power Supply Company of State Grid Jiangsu Electric Power Co., Ltd., Yancheng, 224008, China

* Corresponding Author: Jingjing Bai. Email: email

Energy Engineering 2023, 120(5), 1163-1183. https://doi.org/10.32604/ee.2023.025553

Abstract

The current electricity market fails to consider the energy consumption characteristics of transaction subjects such as virtual power plants. Besides, the game relationship between transaction subjects needs to be further explored. This paper proposes a Peer-to-Peer energy trading method for multi-virtual power plants based on a non-cooperative game. Firstly, a coordinated control model of public buildings is incorporated into the scheduling framework of the virtual power plant, considering the energy consumption characteristics of users. Secondly, the utility functions of multiple virtual power plants are analyzed, and a non-cooperative game model is established to explore the game relationship between electricity sellers in the Peer-to-Peer transaction process. Finally, the influence of user energy consumption characteristics on the virtual power plant operation and the Peer-to-Peer transaction process is analyzed by case studies. Furthermore, the effect of different parameters on the Nash equilibrium point is explored, and the influence factors of Peer-to-Peer transactions between virtual power plants are summarized. According to the obtained results, compared with the central air conditioning set as constant temperature control strategy, the flexible control strategy proposed in this paper improves the market power of each VPP and the overall revenue of the VPPs. In addition, the upper limit of the service quotation of the market operator have a great impact on the transaction mode of VPPs. When the service quotation decreases gradually, the P2P transaction between VPPs is more likely to occur.

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Cite This Article

APA Style
Bai, J., Zhou, H., Xu, Z., Zhong, Y. (2023). Peer-to-peer energy trading method of multi-virtual power plants based on non-cooperative game. Energy Engineering, 120(5), 1163-1183. https://doi.org/10.32604/ee.2023.025553
Vancouver Style
Bai J, Zhou H, Xu Z, Zhong Y. Peer-to-peer energy trading method of multi-virtual power plants based on non-cooperative game. Energ Eng. 2023;120(5):1163-1183 https://doi.org/10.32604/ee.2023.025553
IEEE Style
J. Bai, H. Zhou, Z. Xu, and Y. Zhong, “Peer-to-Peer Energy Trading Method of Multi-Virtual Power Plants Based on Non-Cooperative Game,” Energ. Eng., vol. 120, no. 5, pp. 1163-1183, 2023. https://doi.org/10.32604/ee.2023.025553



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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