Decentralized peer-to-peer energy trading: A blockchain-enabled pricing paradigm

To fully utilize the energy on the user side and establish a new integrated energy trading system to realize energy transactions among users, it is imperative to conduct research on the architecture and pricing models of energy trading systems. Based on the study of the application of blockchain technology in energy trading, this paper constructs a peer-to-peer (P2P) energy trading system using blockchain technology, enabling users to conduct energy transactions without the involvement of a third party. A dynamic energy pricing method based on game theory according to the supply–demand ratio (SDR) is proposed in this paper. The pricing model considers user satisfaction and energy supply–demand comprehensively, introduces the concept of game theory, and constructs an optimized microgrid trading model under the P2P information interaction state. This paper also discusses the application scenarios and operation processes of the P2P energy system, and carries out relevant tests. The test results show that the system has high performance and efficiency, and can meet the needs of energy trading. Finally, through simulation examples, it is proved that the pricing model proposed in this paper provides users with significant benefits and technical support, and can serve as a reference for the application of blockchain in P2P energy trading.

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Publication Details

Journal
Journal of King Saud University - Computer and Information Sciences
Published
2025-03-25
DOI
https://doi.org/10.1007/s44443-025-00025-2
Citations
18
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
58.43
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article

Decentralized peer-to-peer energy trading: A blockchain-enabled pricing paradigm

Chunhe Song, Jingya Dong, Han Zhao, Peiming Ning
18 citations
Journal of King Saud University - Computer and Information Sciences
Blockchain Technology Applications and Security
58.43
article

Decentralized peer-to-peer energy trading: A blockchain-enabled pricing paradigm

Chunhe Song, Jingya Dong, Han Zhao, Peiming Ning
article en
18 citations

Abstract

To fully utilize the energy on the user side and establish a new integrated energy trading system to realize energy transactions among users, it is imperative to conduct research on the architecture and pricing models of energy trading systems. Based on the study of the application of blockchain technology in energy trading, this paper constructs a peer-to-peer (P2P) energy trading system using blockchain technology, enabling users to conduct energy transactions without the involvement of a third party. A dynamic energy pricing method based on game theory according to the supply–demand ratio (SDR) is proposed in this paper. The pricing model considers user satisfaction and energy supply–demand comprehensively, introduces the concept of game theory, and constructs an optimized microgrid trading model under the P2P information interaction state. This paper also discusses the application scenarios and operation processes of the P2P energy system, and carries out relevant tests. The test results show that the system has high performance and efficiency, and can meet the needs of energy trading. Finally, through simulation examples, it is proved that the pricing model proposed in this paper provides users with significant benefits and technical support, and can serve as a reference for the application of blockchain in P2P energy trading.

Journal of King Saud University - Computer and Information SciencesVol. 37(1-2)
Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN), Zhengzhou University (CN)
Openalex Percentile: Top 0%
Blockchain Technology Applications and Security
58.43
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Decentralized peer-to-peer energy trading: A blockchain-enabled pricing paradigm — Chunhe Song, Jingya Dong, et al. · Journal of King Saud University - Computer and Information Sciences (2025) | TGRS Research Map | TGRS