1.State Grid Shanghai Energy Interconnection Research Institute Co., Ltd., Shanghai 201210, China;2.Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China
To solve the problems of malicious bidding and market disorder caused by key transaction information and sensitive data leakage in the centralized power peak-shaving auxiliary service market with the participation of virtual power plants, this paper designs a privacy preservation trading strategy for the centralized market based on “service provider-blockchain-power dispatch control center”. The strategy achieves trusted trading in the power peak-shaving market under the dual constraints of privacy preservation and network security. Firstly, a bidding information privacy preservation scheme based on the price confusion random oracle and the improved Shamir secret sharing network is designed to strictly preserve the quantity and price information submitted to the blockchain. Secondly, based on homomorphic encryption technology, a blockchain smart contract is designed according to the priority order principle of price, credit value, and time, achieving privacy sorting and trusted automatic clearing of bidding quantity. Thirdly, for the practical value, by deploying security verification contracts on the blockchain, the network security constraint verification of transaction results is achieved, and the operation security of the distribution network and the settlement security of service providers are ensured. Finally, through case analysis and evaluation, the effectiveness and superiority of this privacy preservation trading strategy are verified, indicating that this strategy can improve the flexibility and reliability of the power system while preserving the privacy of participants.
This work is supported by National Key R&D Program of China (No. 2021YFB2401203).
[1] | ZUO Juan, AI Qian, WANG Di, et al. Privacy Preservation Trading Strategy for Power Peak-shaving Market with Participation of Virtual Power Plant[J]. Automation of Electric Power Systems,2024,48(18):149-157. DOI:10.7500/AEPS20240209001 |