Small-Signal-Stability-Guaranteed Moving Target Defense Against Load Redistribution Attack on IoT-Based Smart Grid

Moving target defense (MTD) is a promising approach to defend against load redistribution attacks on the Internet of Things (IoT)-based smart grid networks by probing the distorted state estimates with the distributed flexible AC transmission system. However, existing studies mainly focus on optimizing the performance of MTD and ignore the safety effect of it on the system’s operation. In this article, we fill this gap by deeply analyzing the effect of MTD on the small signal stability and aim to alleviate the negative impact and guarantee its defending performance simultaneously. First, the stability is formally described using the eigenvalue sensitivity. The relationship between the MTD-induced perturbation (MTDper) and the stability criteria is derived. Second, a new indicator is proposed to measure the effectiveness of MTDper. Third, a constrained optimization problem is formulated to compute the bound of MTDper for guaranteeing the small signal stability. In addition, a surprising finding is that the stability margin can be improved and enhanced by optimizing the value of MTDper without losing the MTD’s effectiveness. Finally, we evaluate the performance of MTDper and its impact on the small signal stability with extensive simulations on the IEEE 30-bus, 39-bus, and 68-bus test power systems.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-03-24
DOI
https://doi.org/10.1109/jiot.2025.3539653
Citations
1
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
1.21
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article

Small-Signal-Stability-Guaranteed Moving Target Defense Against Load Redistribution Attack on IoT-Based Smart Grid

Mengxiang Liu, Zhenyong Zhang, Xin Zhang, Ruilong Deng et al.
1 citations
IEEE Internet of Things Journal
Smart Grid Security and Resilience
1.21
article

Small-Signal-Stability-Guaranteed Moving Target Defense Against Load Redistribution Attack on IoT-Based Smart Grid

Mengxiang Liu, Zhenyong Zhang, Xin Zhang, Ruilong Deng, Mufeng Wang, Bingdong Wang, Rui Ye
article en
1 citations

Abstract

Moving target defense (MTD) is a promising approach to defend against load redistribution attacks on the Internet of Things (IoT)-based smart grid networks by probing the distorted state estimates with the distributed flexible AC transmission system. However, existing studies mainly focus on optimizing the performance of MTD and ignore the safety effect of it on the system’s operation. In this article, we fill this gap by deeply analyzing the effect of MTD on the small signal stability and aim to alleviate the negative impact and guarantee its defending performance simultaneously. First, the stability is formally described using the eigenvalue sensitivity. The relationship between the MTD-induced perturbation (MTDper) and the stability criteria is derived. Second, a new indicator is proposed to measure the effectiveness of MTDper. Third, a constrained optimization problem is formulated to compute the bound of MTDper for guaranteeing the small signal stability. In addition, a surprising finding is that the stability margin can be improved and enhanced by optimizing the value of MTDper without losing the MTD’s effectiveness. Finally, we evaluate the performance of MTDper and its impact on the small signal stability with extensive simulations on the IEEE 30-bus, 39-bus, and 68-bus test power systems.

IEEE Internet of Things JournalVol. 12(11)
Guizhou University (CN), National Earthquake Response Support Service (CN), Guizhou Electric Power Design and Research Institute (CN), China Industrial Control Systems Cyber Emergency Response Team, State Key Laboratory of Industrial Control Technology (CN), University of Sheffield (GB)
Climate action
Openalex Percentile: Top 24%
Smart Grid Security and Resilience
1.21
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