From Incident Causes to Resilience Enhancement: a Cyber-Physical-Social Systems Framework for Power Grid Risk Analysis

The escalating complexity of modern power grids necessitates a paradigm shift from single-dimension risk assessment to a holistic approach. This paper proposes a novel Cyber-Physical-Social Systems (CPSs) framework that integrates multi-dimensional interactions among physical infrastructure, cyber networks, and societal impacts. By analyzing 200 historical failure cases, we develop a weighted Coupling Risk Index (CRI) model that quantifies both intra-dimension probabilities and inter-dimension synergistic effects. Unlike traditional models, our CRI incorporates dynamic weight allocation and nonlinear coupling coefficients derived from empirical data, revealing that physical-cyber interdependencies amplify social disturbances by 32 % in critical scenarios. Furthermore, we propose crossdimensional mitigation strategies validated through resilience phase analysis.

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Publication Details

Published
2025-04-15
DOI
https://doi.org/10.1109/acpee64358.2025.11041203
Primary Topic
Smart Grid Security and Resilience
Type
article
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From Incident Causes to Resilience Enhancement: a Cyber-Physical-Social Systems Framework for Power Grid Risk Analysis

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From Incident Causes to Resilience Enhancement: a Cyber-Physical-Social Systems Framework for Power Grid Risk Analysis

Aiqiang Pan, Juan Yang, Yang Liu, Jiansong Wu, Li Zhang, Yufan Zhang, Xingang Yang
article en

Abstract

The escalating complexity of modern power grids necessitates a paradigm shift from single-dimension risk assessment to a holistic approach. This paper proposes a novel Cyber-Physical-Social Systems (CPSs) framework that integrates multi-dimensional interactions among physical infrastructure, cyber networks, and societal impacts. By analyzing 200 historical failure cases, we develop a weighted Coupling Risk Index (CRI) model that quantifies both intra-dimension probabilities and inter-dimension synergistic effects. Unlike traditional models, our CRI incorporates dynamic weight allocation and nonlinear coupling coefficients derived from empirical data, revealing that physical-cyber interdependencies amplify social disturbances by 32 % in critical scenarios. Furthermore, we propose crossdimensional mitigation strategies validated through resilience phase analysis.

China University of Mining and Technology (CN)
Climate action
Openalex Percentile: Top 83%
Smart Grid Security and Resilience
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