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1.中国矿业大学计算机科学与技术学院,江苏徐州 221116
2.矿山字化教育部工程研究中心,江苏徐州 221116
Received:11 November 2022,
Revised:2023-07-18,
Published:25 September 2024
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姜顺荣, 时坤, 周勇. 基于差分隐私的联盟链上双向能源拍卖隐私保护[J]. 电子学报, 2024, 52(09): 3023-3037.
JIANG Shun-rong, SHI Kun, ZHOU Yong. Differential Privacy-Based Double Energy Auction Privacy-Preserving on Consortium Blockchain[J]. Acta Electronica Sinica, 2024, 52(09): 3023-3037.
姜顺荣, 时坤, 周勇. 基于差分隐私的联盟链上双向能源拍卖隐私保护[J]. 电子学报, 2024, 52(09): 3023-3037. DOI:10.12263/DZXB.20221299
JIANG Shun-rong, SHI Kun, ZHOU Yong. Differential Privacy-Based Double Energy Auction Privacy-Preserving on Consortium Blockchain[J]. Acta Electronica Sinica, 2024, 52(09): 3023-3037. DOI:10.12263/DZXB.20221299
微电网是一个分布式小型发配电系统,根据产消者不同的需求,通过邻近能源交易的方式实现电力的循环流动.为了在微电网的能源交易中制定最优的定价和交易策略,本文结合联盟链的特点提出了双向密封竞价(Double Sealed Bid,DSB)拍卖方案,该方案在满足关键的经济性质(个人理性、预算平衡等)的基础上通过用户的报价、出价、电量和价格期望等因素共同决定获胜者.同时为了保护拍卖过程中参与用户的隐私,本文根据DSB拍卖方案的特点,基于差分隐私理论提出了BDP(Blockchain-based Differential Privacy)算法,并通过隐私分析和数据有效性分析表明该算法既满足了差分隐私要求又满足了均值有效性.最后,本文将BDP算法应用于DSB拍卖方案中,实现了安全高效的双向能源拍卖隐私保护方案-DPDAB(Differential Privacy-based Double Auction on Blockchain),该方案在实现最优的定价和交易策略的同时保护了拍卖过程中参与用户的隐私.此外,本文通过实验分析了BDP算法对拍卖数据的影响以及处理数据的时间开销对拍卖方案的影响,并通过对比实验证明了DPDAB方案在平均效益、用户满意度和社会福利方面的有效性.
Micro-grid is a distributed small-scale power generation and distribution system
which has realized the circular flow of electricity through adjacent energy trading according to the different needs of prosumers. In order to develop optimal price and transaction strategies in energy trading of micro-grid
we proposed a double sealed bid (DSB) auction scheme according to the characteristics of consortium blockchain. Except met key economic properties (individual rationality
budget balance
and so on)
this scheme would determine the final winner based on the users' offers
bids
volumes
average price and other factors. In the meanwhile
in order to protect the personal privacy of users in the auction process
we proposed the blockchain-based differential privacy (BDP) algorithm based on the differential privacy theory and the characteristics of the DSB auction scheme
which was satisfied with differential privacy demands and mean validity through privacy analysis and data validity analysis. Finally
we applied the BDP algorithm to the DSB auction scheme and realized a safe and efficient double energy auction privacy-preserving scheme—differential privacy-based double auction on blockchain (DPDAB)
which not only developed the optimal price and transaction strategy but also protected the users' privacy in the process of auction. In addition
we analyzed the influence of the BDP algorithm on auction data and the data computation time overhead on the auction scheme through experiments
and proved the validity of the DPDAB scheme in terms of average benefit
user satisfaction and social welfare through comparative experiments.
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