Hierarchical Modeling and Analysis of Power Grid Cyber-Physical Systems: Application and Validation of HM-GCPS

An architecture for modeling, assessing, and predicting with HM-GCPS is introduced, showcasing its problem-solving capabilities. A risk propagation analysis process for GCPS cyber space, based on HM-GCPS, is proposed. HM-GCPS analyzed five cyber-attack scenarios, showing its effectiveness in modeling risk propagation and theoretical analysis. Simulations confirmed the theoretical results, showing the impact on GCPS communication services. This paper is the second part of a two-part series. In Part Ⅰ, the hierarchical model (i.e., HM-GCPS) of power grid cyber-physical system (GCPS) is established. Part II presents the application method of HM-GCPS in Part I used to solve a specific problem, and verifies the effectiveness of HM-GCPS by an example. First, a modeling and analysis architecture, describing the problems that can be analyzed by HM-GCPS, is proposed. To verify the feasibility and effectiveness of HM-GCPS, the risk propagation analysis process of GCPS cyber space is presented based on HM-GCPS. Then, taking a provincial power dispatch data network (PDDN) as an example, the failure event chains under five cyber-attack scenarios are analyzed and deduced. These five scenarios target all layers of the GCPS cyber space. Meanwhile, the impacts of the five cyber-attack scenarios on GCPS communication services are simulated. The results show that HM-GCPS is feasible and effective when it is used for analyzing the risk propagation of GCPS cyber space.

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Publication Details

Journal
Journal of Industrial Information Integration
Published
2025-12-19
DOI
https://doi.org/10.1016/j.jii.2025.101042
Primary Topic
Smart Grid Security and Resilience
Type
article
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article

Hierarchical Modeling and Analysis of Power Grid Cyber-Physical Systems: Application and Validation of HM-GCPS

June Li, Yangrong Chen, Yufei Wang, Jie Zhang et al.
Journal of Industrial Information Integration
Smart Grid Security and Resilience
article

Hierarchical Modeling and Analysis of Power Grid Cyber-Physical Systems: Application and Validation of HM-GCPS

June Li, Yangrong Chen, Yufei Wang, Jie Zhang, Ting Zhao
article en

Abstract

An architecture for modeling, assessing, and predicting with HM-GCPS is introduced, showcasing its problem-solving capabilities. A risk propagation analysis process for GCPS cyber space, based on HM-GCPS, is proposed. HM-GCPS analyzed five cyber-attack scenarios, showing its effectiveness in modeling risk propagation and theoretical analysis. Simulations confirmed the theoretical results, showing the impact on GCPS communication services. This paper is the second part of a two-part series. In Part Ⅰ, the hierarchical model (i.e., HM-GCPS) of power grid cyber-physical system (GCPS) is established. Part II presents the application method of HM-GCPS in Part I used to solve a specific problem, and verifies the effectiveness of HM-GCPS by an example. First, a modeling and analysis architecture, describing the problems that can be analyzed by HM-GCPS, is proposed. To verify the feasibility and effectiveness of HM-GCPS, the risk propagation analysis process of GCPS cyber space is presented based on HM-GCPS. Then, taking a provincial power dispatch data network (PDDN) as an example, the failure event chains under five cyber-attack scenarios are analyzed and deduced. These five scenarios target all layers of the GCPS cyber space. Meanwhile, the impacts of the five cyber-attack scenarios on GCPS communication services are simulated. The results show that HM-GCPS is feasible and effective when it is used for analyzing the risk propagation of GCPS cyber space.

Journal of Industrial Information IntegrationVol. 50
State Grid Corporation of China (China) (CN), Zhengzhou University of Aeronautics (CN), Wuhan University (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 49%
Smart Grid Security and Resilience
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Hierarchical Modeling and Analysis of Power Grid Cyber-Physical Systems: Application and Validation of HM-GCPS — June Li, Yangrong Chen, et al. · Journal of Industrial Information Integration (2025) | TGRS Research Map | TGRS