False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey

Deng, RuilongDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada (author)

Validerad; 2017; Nivå 2; 2017-04-25 (rokbeg)
The accurately estimated state is of great importance for maintaining a stable running condition of power systems. To maintain the accuracy of the estimated state, bad data detection (BDD) is utilized by power systems to get rid of erroneous measurements due to meter failures or outside attacks. However, false data injection (FDI) attacks, as recently revealed, can circumvent BDD and insert any bias into the value of the estimated state. Continuous works on constructing and/or protecting power systems from such attacks have been done in recent years. This survey comprehensively overviews three major aspects: constructing FDI attacks; impacts of FDI attacks on electricity market; and defending against FDI attacks. Specifically, we first explore the problem of constructing FDI attacks, and further show their associated impacts on electricity market operations, from the adversary's point of view. Then, from the perspective of the system operator, we present countermeasures against FDI attacks. We also outline the future research directions and potential challenges based on the above overview, in the context of FDI attacks, impacts, and defense.

Xiao, GaoxiSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (author)
Lu, RongxingFaculty of Computer Science, University of New Brunswick, Canada (author)
Liang, HaoDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada (author)
Vasilakos, AthanasiosLuleå tekniska universitet,Datavetenskap(Swepub:ltu)thanos (author)
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, CanadaSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (creator_code:org_t)

In:IEEE Transactions on Industrial Informatics: IEEE13:2, s. 411-4231551-32031941-0050

By the author/editor: Deng, Ruilong; Xiao, Gaoxi; Lu, Rongxing; Liang, Hao; Vasilakos, Athan ...

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NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Media and Commun ...

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