Research on Risk Propagation Model of Power Transmission Network Based on Intervention Strategies

This paper proposes a risk propagation model for power transmission networks based on intervention strategies. The study utilizes the SIS epidemic model to investigate the risk propagation process, exploring the behavior choices of whether to intervene based on game theory. Considering the risk cost of nodes, the Fermi rule is introduced to calculate the probability of node intervention. The microscopic Markov chain method is used to analyze the probability tree and dynamic process of risk propagation, ultimately assessing the impact scale of risk propagation in power transmission lines. This model can effectively simulate the impact of intervention measures on risk propagation, providing theoretical support for risk management in power transmission networks.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/eiecs63941.2024.10800598
Primary Topic
Smart Grid and Power Systems
Type
article
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article

Research on Risk Propagation Model of Power Transmission Network Based on Intervention Strategies

Xiaqing Meng, Jingjing Gong, Qiang Ni
Smart Grid and Power Systems
article

Research on Risk Propagation Model of Power Transmission Network Based on Intervention Strategies

Xiaqing Meng, Jingjing Gong, Qiang Ni
article en

Abstract

This paper proposes a risk propagation model for power transmission networks based on intervention strategies. The study utilizes the SIS epidemic model to investigate the risk propagation process, exploring the behavior choices of whether to intervene based on game theory. Considering the risk cost of nodes, the Fermi rule is introduced to calculate the probability of node intervention. The microscopic Markov chain method is used to analyze the probability tree and dynamic process of risk propagation, ultimately assessing the impact scale of risk propagation in power transmission lines. This model can effectively simulate the impact of intervention measures on risk propagation, providing theoretical support for risk management in power transmission networks.

Openalex Percentile: Top 78%
Smart Grid and Power Systems
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