Distributed Power Trading Mechanism Based on Blockchain Smart Contracts

To address the challenges of inefficiency, vulnerability to attacks, and the lack of transparency and fairness in distributed power trading, a distributed power trading mechanism based on blockchain smart contracts is proposed. Firstly, a strategy for matching distributed power trading orders is designed, and a model for managing user credit is constructed using the entropy weight method and deviation cost. Secondly, a smart contract for distributed power trading is compiled using the Solidity language. Finally, the designed smart contract is deployed, tested, and a distributed power trading network is simulated. The security analysis indicates that the Merkle Tree structure and PoW consensus mechanism effectively ensure the data and system security of distributed power transactions. Simulation test results demonstrate that the transaction mechanism can reliably complete transaction settlements, safeguard the interests of trustworthy users, and enhance the economic benefits of both parties involved in the transaction.

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Publication Details

Journal
Energies
Published
2025-04-16
DOI
https://doi.org/10.3390/en18082040
Citations
3
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
9.74

Funders

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article

Distributed Power Trading Mechanism Based on Blockchain Smart Contracts

Huai Huang, Meng Jiao, Lihua Zhang, Qingyu Lu et al.
3 citations
Energies
Blockchain Technology Applications and Security
9.74
article

Distributed Power Trading Mechanism Based on Blockchain Smart Contracts

Huai Huang, Meng Jiao, Lihua Zhang, Qingyu Lu, Yi Yang
article en
3 citations

Abstract

To address the challenges of inefficiency, vulnerability to attacks, and the lack of transparency and fairness in distributed power trading, a distributed power trading mechanism based on blockchain smart contracts is proposed. Firstly, a strategy for matching distributed power trading orders is designed, and a model for managing user credit is constructed using the entropy weight method and deviation cost. Secondly, a smart contract for distributed power trading is compiled using the Solidity language. Finally, the designed smart contract is deployed, tested, and a distributed power trading network is simulated. The security analysis indicates that the Merkle Tree structure and PoW consensus mechanism effectively ensure the data and system security of distributed power transactions. Simulation test results demonstrate that the transaction mechanism can reliably complete transaction settlements, safeguard the interests of trustworthy users, and enhance the economic benefits of both parties involved in the transaction.

EnergiesVol. 18(8)
East China Jiaotong University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province
Openalex Percentile: Top 3%
Blockchain Technology Applications and Security
9.74
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Distributed Power Trading Mechanism Based on Blockchain Smart Contracts — Huai Huang, Meng Jiao, et al. · Energies (2025) | TGRS Research Map | TGRS