Review of Multi‐Energy Coupling and Resilience Control in Cyber Physical Energy Systems Under Extreme Disasters

ABSTRACT Extreme disasters, including both natural hazards and malicious intrusions, pose severe risks to cyber‐physical energy systems (CPES). Due to tight coupling, their impacts are amplified by physical destruction, cyber degradation, multi‐energy interdependencies and human behaviour. As a result, localised disruptions may escalate into cascading failures. Current research still faces persistent challenges: characterising amplification mechanisms, coping with scarce data and degraded information quality and coordinating decision‐making and restoration under emergencies. Recent studies begin to address these issues through cross‐domain modelling, hybrid detection, distributed control and multi‐energy collaborative recovery, increasingly supported by intelligent learning and embodied agents. Building on these insights, the paper outlines future directions towards integrated resilience frameworks that connect modelling, detection, defence and recovery, thereby enhancing the adaptive capacity of CPES under extreme disasters.

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Publication Details

Journal
Energy internet.
Published
2025-12-01
DOI
https://doi.org/10.1049/ein2.70015
Citations
1
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
1.21

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article

Review of Multi‐Energy Coupling and Resilience Control in Cyber Physical Energy Systems Under Extreme Disasters

Yuxuan Li, Yijia Cao, Wenxi Zhan, Ye Cai et al.
1 citations
Energy internet.
Smart Grid Security and Resilience
1.21
article

Review of Multi‐Energy Coupling and Resilience Control in Cyber Physical Energy Systems Under Extreme Disasters

Yuxuan Li, Yijia Cao, Wenxi Zhan, Ye Cai, Rong Zeng, Rui Sun
article en
1 citations

Abstract

ABSTRACT Extreme disasters, including both natural hazards and malicious intrusions, pose severe risks to cyber‐physical energy systems (CPES). Due to tight coupling, their impacts are amplified by physical destruction, cyber degradation, multi‐energy interdependencies and human behaviour. As a result, localised disruptions may escalate into cascading failures. Current research still faces persistent challenges: characterising amplification mechanisms, coping with scarce data and degraded information quality and coordinating decision‐making and restoration under emergencies. Recent studies begin to address these issues through cross‐domain modelling, hybrid detection, distributed control and multi‐energy collaborative recovery, increasingly supported by intelligent learning and embodied agents. Building on these insights, the paper outlines future directions towards integrated resilience frameworks that connect modelling, detection, defence and recovery, thereby enhancing the adaptive capacity of CPES under extreme disasters.

Energy internet.Vol. 2(4)
Hunan University (CN), Hunan Xiangdian Test Research Institute (China) (CN), Changsha University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Smart Grid Security and Resilience
1.21
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