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.
Authors
- Mengxiang Liu (ORCID: https://orcid.org/0000-0002-2663-4787)
- Zhenyong Zhang (ORCID: https://orcid.org/0000-0003-0950-1525)
- Xin Zhang (ORCID: https://orcid.org/0000-0002-6063-959X)
- Ruilong Deng (ORCID: https://orcid.org/0000-0002-8158-150X)
- Mufeng Wang (ORCID: https://orcid.org/0000-0001-5706-8960)
- Bingdong Wang (ORCID: https://orcid.org/0009-0000-1484-4827)
- Rui Ye
Institutions
- 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)
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