文献类型：期刊文献

英文题名：Optimal Coding Schemes for Detecting False Data Injection Attacks in Power System State Estimation

作者：Liu, Chensheng[1];Deng, Ruilong[2,3];He, Wangli[1];Liang, Hao[4];Du, Wenli[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Peoples R China;[3]Zhejiang Univ, Sch Cyber Sci & Technol, Hangzhou 310027, Peoples R China;[4]Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 1H9, Canada

年份：2022

卷号：13

期号：1

起止页码：738

外文期刊名：IEEE TRANSACTIONS ON SMART GRID

收录：;EI(收录号：20213710887453);WOS:【SCI-EXPANDED(收录号:WOS:000733951900065)】；

基金：The work of Ruilong Deng was supported in part by the National Natural Science Foundation of China under Grant 62073285, and in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LZ21F020006. This work was supported in part by the National Natural Science Foundation of China under Grant 61988101 and Grant 62073138; in part by the National Natural Science Fund for Distinguished Young Scholars under Grant 61725301; in part by the Young Elite Scientists Sponsorship Program by CAST under Grant 2016QNRC001; and in part by the Shanghai Pujiang Program under Grant 20PJ1403000.

语种：英文

外文关键词：Encoding; Meters; State estimation; Power systems; Power measurement; Generators; Optimization; False data injection attacks; optimal coding schemes; attack detection; power system state estimation

摘要：As a side-effect-free method, meter coding can successfully detect stealthy false data injection (FDI) attacks without significantly affecting physical plants by encoding the sensor outputs with an invertible matrix. However, since the relationship between the detection of stealthy FDI attacks and the cost of meter coding was not clearly analyzed in existing works, the optimal design of coding schemes has not been well studied. This paper investigates the optimal design of coding schemes based on the analysis of detection conditions for stealthy FDI attacks in power system state estimation. Specifically, detection conditions for stealthy FDI attacks are derived in both general and special coding schemes, which reveal the requirements on the encoded measurements, the coding scheme and the meters in power systems. Utilizing the constraints determined by the detection conditions, the optimization of the special coding scheme is formulated and equivalently simplified, which decouples the design of coding matrix with the other decision variables. Finally, simulation results are carried out on the alternating current (AC) state estimation in the IEEE 14-bus and 57-bus test systems to validate theoretical results on the conditions and cost of detecting stealthy FDI attacks in meter coding.