电测与仪表2025，Vol.62Issue(8)：68-74,7.DOI:10.19753/j.issn1001-1390.2025.08.008
差分隐私数字电网调度运行数据研究
Research on smart grid dispatching operation data with differential privacy
摘要
Abstract
Aiming at the problem of user privacy leakage caused by data analysis on power dispatching operation data,this paper proposes a differential privacy analysis method for the power consumption pattern of users.We use K-means clustering method on the original time series data to obtain the optimal number of the power consumption patterns of users.We propose a differential privacy clustering analysis method,which adds Laplacian noise when generating clusters and calculating the centroid within clusters,and then,de-noises the centroid data within clus-ters by smoothing function to improve the data availability.The algorithm is tested on real dataset REDD.The ex-perimental results show that the proposed algorithm not only achieves privacy protection,but also improves the a-vailability of privacy data when analyzing the operation data of power dispatching.关键词
电力调度运行数据/差分隐私/K-means算法/数据中台Key words
operation data of electric power dispatching center/differential privacy/K-means algorithm/data center分类
信息技术与安全科学引用本文复制引用
李世明,卢建刚,郭文鑫,余志文,赵瑞锋,曾凯文..差分隐私数字电网调度运行数据研究[J].电测与仪表,2025,62(8):68-74,7.基金项目
中国南方电网有限责任公司科技项目(036000KK52200012/GDKJXM20200487) （036000KK52200012/GDKJXM20200487）
