Privacy Preservation Trading Strategy for Power Peak-shaving Market with Participation of Virtual Power Plant

被引:0
|
作者
Zuo, Juan [1 ,2 ]
Ai, Qian [2 ]
Wang, Di [2 ]
Wang, Wenbo [1 ]
Xu, Chongxin [1 ]
机构
[1] State Grid Shanghai Energy Interconnection Research Institute Co., Ltd., Shanghai
[2] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 18期
关键词
blockchain; peak-shaving; price confusion random oracle; privacy preservation; Shamir secret sharing network; virtual power plant;
D O I
10.7500/AEPS20240209001
中图分类号
学科分类号
摘要
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. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:149 / 157
页数:8
相关论文
共 26 条
  • [1] LI Jiamei, AI Qian, YIN Shuangrui, Market mechanism and foreign experience of virtual power plant participating in peak-regulation and frequency-regulation [J], Proceedings of the CSEE, 42, 1, pp. 37-56, (2022)
  • [2] KANG Chongqing, CHEN Qixin, SU Jian, Et al., Scientific problems and research framework of virtual power plant with enormous flexible distributed energy resources in new power system[J], Automation of Electric Power Systems, 46, 18, pp. 3-14, (2022)
  • [3] ZHANG C L, WANG Y Q., Enabling privacy-preservation in decentralized optimization[J], IEEE Transactions on Control of Network Systems, 6, 2, pp. 679-689, (2019)
  • [4] ZHANG C L,, AHMAD M, WANG Y Q., ADMM based privacy-preserving decentralized optimization [J], IEEE Transactions on Information Forensics and Security, 14, 3, pp. 565-580, (2019)
  • [5] CHEN S J,, Et al., Coordinating EV charging via blockchain[J], Journal of Modern Power Systems and Clean Energy, 8, 3, pp. 573-581, (2020)
  • [6] JIANG Y N, Et al., Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment[J], Applied Energy, 271, (2020)
  • [7] PEI Lin, HUANG Cheng, YANG Xiao, Et al., A distributed energy trading model considering privacy protection and decentralization [J], Power System Protection and Control, 52, 2, pp. 143-154, (2024)
  • [8] GAI K K,, WU Y L,, ZHU L H,, Et al., Privacy-preserving energy trading using consortium blockchain in smart grid[J], IEEE Transactions on Industrial Informatics, 15, 6, pp. 3548-3558, (2019)
  • [9] Privacy-preserving and approximately truthful local electricity markets: a differentially private VCG mechanism[J], IEEE Transactions on Smart Grid, 15, 2, pp. 1991-2003, (2024)
  • [10] CHANG Li, CAO Rongzhang, JI Bin, Et al., Future major demands and key technologies in trading operation of electricity spot market[J], Automation of Electric Power Systems, 48, 4, pp. 34-48, (2024)