Resilience Assessment for Hybrid AC/DC Cyber-Physical Power Systems Under Cascading Failures

This article presents a resilience assessment approach for hybrid ac/dc cyber-physical power system (CPPS), proposing a comprehensive assessment index called cascading failure recovery index (CFRI) that simultaneously considers the system scale and load level in the cascading failure recovery process. First, correlation characteristic matrix-based modeling framework is developed to capture the characteristics of multidimensional heterogeneous power systems, providing a clear description of the cyber-physical coupling network. Besides, the proposed CFRI incorporates cyber-physical coordinated attacks to assess the robustness of hybrid ac/dc power systems under different attack scenarios. The CFRI takes into account the number of nodes, branches, and load levels, enabling an accurate assessment of the disconnection degree and recovery capability of CPPS in case of cascading failures. Finally, simulation studies are conducted on a IEEE 39-bus power system modified with dc transmission lines to validate the effectiveness of the proposed method.

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Publication Details

Journal
IEEE Transactions on Reliability
Published
2025-04-01
DOI
https://doi.org/10.1109/tr.2025.3550523
Citations
28
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
34.01

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article

Resilience Assessment for Hybrid AC/DC Cyber-Physical Power Systems Under Cascading Failures

Qiuwei Wu, Zhenjia Lin, Kaishun Xiahou, Yang Liu et al.
28 citations
IEEE Transactions on Reliability
Smart Grid Security and Resilience
34.01
article

Resilience Assessment for Hybrid AC/DC Cyber-Physical Power Systems Under Cascading Failures

Qiuwei Wu, Zhenjia Lin, Kaishun Xiahou, Yang Liu, Du Wei, Xingye Xu, Zhaoxi Liu
article en
28 citations

Abstract

This article presents a resilience assessment approach for hybrid ac/dc cyber-physical power system (CPPS), proposing a comprehensive assessment index called cascading failure recovery index (CFRI) that simultaneously considers the system scale and load level in the cascading failure recovery process. First, correlation characteristic matrix-based modeling framework is developed to capture the characteristics of multidimensional heterogeneous power systems, providing a clear description of the cyber-physical coupling network. Besides, the proposed CFRI incorporates cyber-physical coordinated attacks to assess the robustness of hybrid ac/dc power systems under different attack scenarios. The CFRI takes into account the number of nodes, branches, and load levels, enabling an accurate assessment of the disconnection degree and recovery capability of CPPS in case of cascading failures. Finally, simulation studies are conducted on a IEEE 39-bus power system modified with dc transmission lines to validate the effectiveness of the proposed method.

IEEE Transactions on ReliabilityVol. 74(3)
Hong Kong Polytechnic University (HK), Tsinghua–Berkeley Shenzhen Institute (CN), South China University of Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 0%
Smart Grid Security and Resilience
34.01
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