Cyber-Physical Modeling Method for New Power System with Deep Integration of Power Communication Network and Generation-Grid-Load-Storage

In response to the urgent need for deep integration of power communication network and generation-grid-load-storage in the new power system, an cyber-physical collaborative modeling method is proposed in this paper. Firstly, a multi-level fusion architecture is designed to achieve virtual-real mapping between power physical equipment and communication networks through digital twin technology, and a unified data model is constructed for power units. Secondly, a cyber-physical security risk assessment model is established to quantify the impact threshold of communication anomalies (Distributed Denial of Service (DDoS) attacks and sudden delay changes) on power grid stability, and the robustness of the model is verified through the "OPtimized Network Engineering Tool (OPNET)+Matlab/Simulink" joint simulation platform. The experimental results show that the proposed method can achieve collaborative state perception and risk warning between power physical systems and communication networks, providing theoretical support and technical path for the safe and efficient operation of new power systems.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ecie65947.2025.11086896
Citations
1
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.73

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Cyber-Physical Modeling Method for New Power System with Deep Integration of Power Communication Network and Generation-Grid-Load-Storage

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Cyber-Physical Modeling Method for New Power System with Deep Integration of Power Communication Network and Generation-Grid-Load-Storage

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article en
1 citations

Abstract

In response to the urgent need for deep integration of power communication network and generation-grid-load-storage in the new power system, an cyber-physical collaborative modeling method is proposed in this paper. Firstly, a multi-level fusion architecture is designed to achieve virtual-real mapping between power physical equipment and communication networks through digital twin technology, and a unified data model is constructed for power units. Secondly, a cyber-physical security risk assessment model is established to quantify the impact threshold of communication anomalies (Distributed Denial of Service (DDoS) attacks and sudden delay changes) on power grid stability, and the robustness of the model is verified through the "OPtimized Network Engineering Tool (OPNET)+Matlab/Simulink" joint simulation platform. The experimental results show that the proposed method can achieve collaborative state perception and risk warning between power physical systems and communication networks, providing theoretical support and technical path for the safe and efficient operation of new power systems.

State Grid Corporation of China (China) (CN)
State Grid Corporation of China
Affordable and clean energy
Openalex Percentile: Top 25%
Power Systems and Technologies
0.73
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