A Privacy-Preserving Blockchain-Based Method to Optimize Energy Trading

【Author】 Ping, Jian; Yan, Zheng; Chen, Sijie

【Source】IEEE TRANSACTIONS ON SMART GRID

【影响因子】10.275

【Abstract】It is always desired for optimizing energy trading to disable manipulation and preserve individual privacy. These two features become increasingly appealing for an energy market where interest parties do not mutually trust each other, such as peer-to-peer energy trading. Traditional centralized or hierarchical optimization schemes are vulnerable to an untrusted coordinator who may dishonestly broadcast coordination results or be curious about individual privacy. Recent blockchain-based optimization schemes resist dishonesty but increase the risk of privacy leakage. This paper proposes a privacy-preserving blockchain-based method to optimize energy trading. In the proposed method, participants submit encrypted bids/offers based on a bid/offer encryption algorithm to preserve their privacy. A privacy-preserving-Byzantine-fault-tolerance-based coordination algorithm is proposed to ensure the correctness of trading results with considering dishonesty. Numerical results in a peer-to-peer energy trading case demonstrate the performance of our method on convergence, resisting dishonesty, preserving privacy, and scalability.

【Keywords】Privacy; Optimization; Convergence; Resists; Blockchains; Power transmission; Distributed algorithms; Blockchain; privacy-preserving; consensus algorithm; energy trading; distributed optimization

【发表时间】2023 MAR

【收录时间】2023-05-02

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-能源领域