Optimal D-FACTS Placement in Moving Target Defense Against False Data Injection Attacks

Liu, Bo; Wu, Hongyu

doi:10.1109/tsg.2020.2977207

Optimal D-FACTS Placement in Moving Target Defense Against False Data Injection Attacks

Journal Article · Thu Feb 27 23:00:00 EST 2020 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/tsg.2020.2977207· OSTI ID:1907398

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Kansas State Univ., Manhattan, KS (United States); Kansas State University
Kansas State Univ., Manhattan, KS (United States)

Moving target defense (MTD) is a defense strategy to detect stealthy false data injection (FDI) attacks against the power system state estimation using distributed flexible AC transmission system (D-FACTS) devices. However, existing studies neglect to address a fundamental yet critical issue, i.e., the D-FACTS placement, by assuming that all lines are equipped with D-FACTS devices. Here, to tackle this problem, we first derive analytical necessary conditions and requirements on the D-FACTS placement for a complete MTD. Further, we propose sufficient conditions using a graph theory-based topology analysis to ensure that the MTD under the proposed D-FACTS placement has the maximum rank of its composite matrix, which is indicative of the MTD effectiveness. Based on the analytical conditions, we design D-FACTS placement algorithms by using the minimum number of D-FACTS devices to achieve the maximum MTD effectiveness. A novel MTD-based ACOPF model, in which the reactance of D-FACTS lines is introduced as decision variables, is proposed to find a trade-off between the system loss and the MTD effectiveness. Numerical results on 6-bus, IEEE 14-bus, and IEEE 118-bus systems show the efficacy of MTDs using the proposed D-FACTS placement algorithms in maximizing the composite matrix rank and detecting FDI attacks.

View Accepted Manuscript (DOE)

Research Organization:: Kansas State Univ., Manhattan, KS (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; National Science Foundation (NSF)

Grant/Contract Number:: EE0008767

OSTI ID:: 1907398

Report Number(s):: DOE-KSU-8767

Journal Information:: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 5 Vol. 11; ISSN 1949-3053

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
D-FACTS placement
false data injection attacks
moving target defense
topology analysis

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