1.Department of Electrical Engineering, Tongji University, Shanghai, China
2.College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
3.Metering Center, State Grid Jinhua Power Supply Company, Jinhua, China
4.Marketing Service Center, State Grid Zhejiang Electric Power Company, Hangzhou, China
5.The University of Queensland, Brisbane, Australia
6.College of Electrical Engineering, Zhejiang University, Hangzhou, China
Changsen Feng received the B.E. degree in electrical engineering from Shandong University, Jinan, China, in 2013, and the Ph.D. degree from Zhejiang University, Hangzhou, China, in 2019. He joined the Faculty of Zhejiang University of Technology in July 2019. Since 2026, he has been with Tongji University, Shanghai, China. His research interests include game theory, machine learning, peer-to-peer energy trading, and optimization theory in power systems. Email:fcs@tongji.edu.cn)
Fengwei Zhou received the B.E. degree in robotics engineering from Yangtze Normal University, Chongqing, China, in 2024. He is currently pursuing the M.S. degree in College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. His research interests include virtual power plant and peer-to-peer energy trading. email:wfz20240227@163.com
Haoqingzi Shen is with the Metering Center, State Grid Jinhua Power Supply Company, Jinhua, China. She is currently engaged in work related to electric energy metering. Her research interests include integrated energy and smart grid. Email:qz.leo@163.com
Jiaying Wang is with the Marketing Service Center, State Grid Zhejiang Electric Power Company, Hangzhou, China. Her research interests include integrated energy and demand response. Email:wangjiayingee@zju.edu.cn
Licheng Wang received the B.Eng. degree from Huazhong University of Science and Technology (HUST), Wuhan, China, in 2012, the M.Eng. degree from Zhejiang University, Hangzhou, China, in 2015, and the Ph.D. degree from The University of Queensland (UQ), Brisbane, Australia, in 2019. Before rejoining UQ in 2025, he was an Associate Professor at Zhejiang University of Technology, Hangzhou, China. His research interests include power system operation and optimal dispatch, distribution system voltage regulation, and modelling and control of grid-forming (GFM) and grid-following (GFL) converters. Email:l.wang8@uq.edu.au
Fushuan Wen received the B.E. and M.E. degrees from Tianjin University, Tianjin, China, in 1985 and 1988, respectively, and the Ph.D. degree from Zhejiang University, Hangzhou, China, in 1991, all in electrical engineering. His research interests include power industry restructuring, power system alarm processing, fault diagnosis and restoration strategy, smart grid, and electric vehicle. Email:fushuan.wen@gmail.com
Youbing Zhang received the B.S. and M.S. degrees in electrical engineering from Hunan University, Changsha, China, in 1993 and 1996, respectively, and the Ph.D. degree in electrical engineering from Huazhong University of Science and Technology, Wuhan, China, in 2003. He is currently a Professor with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. His research interests include demand-side management, vehicle-to-grid technology, power quality monitoring and control, smart energy, and big data application. Email:youbingzhang@zjut.edu.cn
收稿:2025-08-17,
修回:2025-12-29,
录用:2026-04-14,
网络首发:2026-05-27,
纸质出版:2026-09-15
移动端阅览
Changsen Feng, Fengwei Zhou, Haoqingzi Shen, 等. A Comprehensive Review on Peer-to-peer Energy Trading: Key Research Domains, Key Factors, Opportunities, and Challenges[J]. MPCE, 2026,14(5):1568-1584.
Feng Changsen,Zhou Fengwei,Shen Haoqingzi,et al.A Comprehensive Review on Peer-to-peer Energy Trading: Key Research Domains, Key Factors, Opportunities, and Challenges[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1568-1584.
Changsen Feng, Fengwei Zhou, Haoqingzi Shen, 等. A Comprehensive Review on Peer-to-peer Energy Trading: Key Research Domains, Key Factors, Opportunities, and Challenges[J]. MPCE, 2026,14(5):1568-1584. DOI: 10.35833/MPCE.2025.000752.
Feng Changsen,Zhou Fengwei,Shen Haoqingzi,et al.A Comprehensive Review on Peer-to-peer Energy Trading: Key Research Domains, Key Factors, Opportunities, and Challenges[J].Journal of Modern Power Systems and Clean Energy,2026,14(05):1568-1584. DOI: 10.35833/MPCE.2025.000752.
2
’With the global energy transition towards more decentralized and sustainable systems
peer-to-peer (P2P) energy trading has emerged as a prominent energy exchange model
attracting increas
ing attention from both academia and industry. P2P energy trading not only facilitates the efficient utilization of distributed energy resources (DERs) but also enables autonomous energy transactions. This paper provides a comprehensive review on P2P energy trading
starting with an explanation of the P2P energy network
P2P market structures
and blockchain in P2P energy trading. The main body reviews existing research from six key research domains: trading platform
market clearing method
security
uncertainty
modeling of users
behavior
and experimental validation. Subsequently
the paper discusses key factors in deployment of P2P energy trading systems. Finally
opportunities and challenges in the future are outlined
and conclusions are drawn.
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