A Collaborative Repair Model for Power Cyber-Physical Systems Considering Multiple Coupling Relationships

A cyber physical collaborative recovery model considering multiple coupling relationships is proposed for composite faults in power cyber physical systems. Firstly, considering the multiple coupling relationships between the topology and functions of the physical network and communication network, a simulation model of the power information physical system was constructed. Then, the possible delay effects of information system failures on generator output, line switching, and the impact of insufficient power supply on the information system were considered. Finally, a power information physics system example based on the IEEE 24 node system is constructed to verify the effectiveness of the model.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/sgai64825.2025.11009380
Primary Topic
Smart Grid Security and Resilience
Type
article
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A Collaborative Repair Model for Power Cyber-Physical Systems Considering Multiple Coupling Relationships

Yuhan Wu, Xinyu Li, Chunming Liu, Zhiyuan Ma et al.
Smart Grid Security and Resilience
article

A Collaborative Repair Model for Power Cyber-Physical Systems Considering Multiple Coupling Relationships

Yuhan Wu, Xinyu Li, Chunming Liu, Zhiyuan Ma, Y. H. Wan
article en

Abstract

A cyber physical collaborative recovery model considering multiple coupling relationships is proposed for composite faults in power cyber physical systems. Firstly, considering the multiple coupling relationships between the topology and functions of the physical network and communication network, a simulation model of the power information physical system was constructed. Then, the possible delay effects of information system failures on generator output, line switching, and the impact of insufficient power supply on the information system were considered. Finally, a power information physics system example based on the IEEE 24 node system is constructed to verify the effectiveness of the model.

North China Electric Power University (CN)
Openalex Percentile: Top 87%
Smart Grid Security and Resilience
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