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PMU Placement Protection against Coordinated False Data Injection Attacks in Smart Grid
Pei C(裴超)1; Xiao Y(肖杨)2; Liang W(梁炜)1; Han XJ(韩晓佳)1
Department工业控制网络与系统研究室
Source PublicationIEEE Transactions on Industry Applications
ISSN0093-9994
2020
Volume56Issue:4Pages:4381-4393
Indexed BySCI ; EI
EI Accession number20203209006513
WOS IDWOS:000550744700102
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China under Grant 61673371 ; International Partnership Program of Chinese Academy of Sciences under Grant 173321KYSB20180020 ; Liaoning Provincial Natural Science Foundation of China under Grant 2019-YQ-09
KeywordCyber security cyber-physical system false data injection phase measurement units (PMUs) state estimation smart grid
Abstract

To maintain stable and reliable operations in smart grid, accurate state estimation is of paramount importance. However, synthesized false data injection attacks could wisely circumvent conventional bad data detection mechanisms by introducing arbitrary errors to state estimates to seriously affect the entire power system operation. To defend these attacks, phase measurement units (PMUs) are deployed in advance at various locations to reduce the chance of being attacked. However, when the budget of placement is not large enough so that the whole system cannot be covered by PMUs, the existing PMU placement algorithms based on greedy strategies are insufficient in some weak locations due to the nature of greedy strategies. In this article, we propose a new hybrid attack, which can be easily used by attackers to attack the buses with less connectivity and impose adverse impacts to state estimation with a low-attack cost so that existing defenses based on greedy strategies become invalid. We future propose a predeployment PMU greedy algorithm for this new attack in which the most vulnerable buses are first protected and, then, a greedy-based algorithm is used to deploy other PMUs until the whole system is observable. Experimental results on various IEEE standard systems demonstrate the effectiveness of our schemes.

Language英语
WOS SubjectEngineering, Multidisciplinary ; Engineering, Electrical & Electronic
WOS KeywordSTATE ESTIMATION ; NETWORKS ; SYSTEMS ; DEFENSE
WOS Research AreaEngineering
Funding ProjectNational Natural Science Foundation of China[61673371] ; International Partnership Program of Chinese Academy of Sciences[173321KYSB20180020] ; Liaoning Provincial Natural Science Foundation of China[2019-YQ-09] ; China Scholarship Council
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/27474
Collection工业控制网络与系统研究室
Corresponding AuthorXiao Y(肖杨); Liang W(梁炜)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
2.Department of Computer Science, University of Alabama, Tuscaloosa, AL 35487-0290, United States
Recommended Citation
GB/T 7714
Pei C,Xiao Y,Liang W,et al. PMU Placement Protection against Coordinated False Data Injection Attacks in Smart Grid[J]. IEEE Transactions on Industry Applications,2020,56(4):4381-4393.
APA Pei C,Xiao Y,Liang W,&Han XJ.(2020).PMU Placement Protection against Coordinated False Data Injection Attacks in Smart Grid.IEEE Transactions on Industry Applications,56(4),4381-4393.
MLA Pei C,et al."PMU Placement Protection against Coordinated False Data Injection Attacks in Smart Grid".IEEE Transactions on Industry Applications 56.4(2020):4381-4393.
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