云边协作智能仪表的安全高效数据聚合方案

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Wenjie Kang , Li Zhang , Zhenzhen Hu , Zhuoqun Xia
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引用次数: 0

摘要

智能电表是智能电网中先进测量基础设施(AMI)系统的一部分。它为消费者和电力供应商(ES)之间的数据传输提供了便利。然而,智能电表(SM)的大规模部署给电网运行带来了沉重的开销,并带来了严重的隐私威胁。为此,本文提出了一种安全高效的云边协作智能电表数据聚合方案。首先,对用户的历史用电负荷特征进行标准化处理,利用改进的 K-Means 聚类算法计算特征向量之间的欧氏距离,得到用户负荷特征的分类结果。在此基础上,ES 根据分类结果生成相关参数,对电表数据进行加密,保护用户的数据隐私。聚合器(Ag)进行数据聚合,利用施诺尔聚合签名法生成整体签名,并发送给云服务器(CS)。ES 查询 CS 获取数据并进行解析,从而实现客户计费服务。同时,本文进行了一系列实验,结果表明所提出的方案在隐私保护和系统运行效率方面具有显著优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A secure and efficient data aggregation scheme for cloud–edge collaborative smart meters
Smart meters are part of the Advanced Measurement Infrastructure (AMI) system in the smart grid. It facilitates data transfer between consumers and electricity suppliers (ES). However, the mass deployment of smart meters (SM) brings heavy overhead to grid operation and poses serious privacy threats. To this end, this paper proposes a secure and efficient data aggregation scheme of cloud–edge collaboration smart meters. At first, we standardize the users’ historical electricity load features and use the improved K-Means clustering algorithm to calculate the Euclidean distance between feature vectors to obtain the classification results of users’ load features. On this basis, ES generates relevant parameters to encrypt meter data and protect users’ data privacy based on classification results. The aggregator (Ag) performs the data aggregation, generates the overall signature using the Schnorr aggregation signature method, and sends it to the cloud server (CS). The ES queries the CS to obtain data and parses it to realize the customer billing service. Meanwhile, this paper executes a series of experiments, and the results show that the proposed scheme exhibits significant advantages in privacy protection and system operation efficiency.
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来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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