李达, 郭庆雷, 冯景丽. 基于区块链的分布式电力交易隐私结算模型[J]. 电网技术, 2023, 47(9): 3608-3619. DOI: 10.13335/j.1000-3673.pst.2022.2246
引用本文: 李达, 郭庆雷, 冯景丽. 基于区块链的分布式电力交易隐私结算模型[J]. 电网技术, 2023, 47(9): 3608-3619. DOI: 10.13335/j.1000-3673.pst.2022.2246
LI Da, GUO Qinglei, FENG Jingli. Private Settlement Model of Distributed Power Transactions Based on Blockchains[J]. Power System Technology, 2023, 47(9): 3608-3619. DOI: 10.13335/j.1000-3673.pst.2022.2246
Citation: LI Da, GUO Qinglei, FENG Jingli. Private Settlement Model of Distributed Power Transactions Based on Blockchains[J]. Power System Technology, 2023, 47(9): 3608-3619. DOI: 10.13335/j.1000-3673.pst.2022.2246

基于区块链的分布式电力交易隐私结算模型

Private Settlement Model of Distributed Power Transactions Based on Blockchains

  • 摘要: 微电网分布式电力交易根据市场供需对分布式能源进行灵活调控,实现资源优化配置及利用,彰显资源的市场价值。区块链技术去中心化、防篡改及分布式存储等特点与分布式电力交易分散自治的特点高度契合,然而在方案设计中,尚未解决交易关键信息如交易电价等敏感数据泄露、引发恶意竞价扰乱市场秩序等问题。采用同态承诺及可验证加密技术,提出了兼顾隐私电价的电费结算机制,设计了基于区块链的交易电价隐私保护方案,并进行了严格的安全证明和仿真测试。证明及仿真结果表明,所提方案能够有效保护交易电价隐私,同时满足正确结算及监管需要。

     

    Abstract: Microgrid distributed power transaction flexibly regulates the distributed energy according to the market supply and demand, realizing the optimal allocation and utilization of resources and highlighting the market value of resources. The characteristics of the blockchain technology, such as its decentralization, tamper prevention and distributed storage, are highly consistent with the decentralized and autonomous characteristics of the distributed power transactions. However, in the scheme designing, the problems such as the leakage of the sensitive data like the transaction prices and the disruption of the market order by malicious bidding have not been solved. This paper, adopting the homomorphic commitment and the verifiable encryption technology, proposes a power bill settlement mechanism that takes into account the privacy prices, designs a transaction price privacy protection scheme based on the blockchain technology, and conducts the strict security proof and simulation tests. The verification and simulation results show that the proposed scheme is able to effectively protect the privacy of the transaction price and meet the needs of the correct settlement and supervision.

     

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