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Grid disaster risk identification based on social network analysis

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  • He, Futong
  • Ji, Liyan
  • Li, Cunbin

Abstract

In order to quantify the systematic risks and vulnerabilities of grid disasters, a social network analysis approach was used to identify and analyze the key risk factors of grid disasters. This study constructed the grid disaster system by analyzing the core laws of the interaction between HILF events and the grid, and identified the core risk factors and key risk factor combinations of grid disasters based on the social network analysis framework, and examined the risk control effect by controlling the core risk factors and key risk factor combinations. The results show that 1) "downed poles and broken lines", "damaged distribution lines", and "line trips/outages" are the core risk factors of grid disasters. 2) "Heavy rainfall - traffic disruption", "Heavy rainfall - road collapse damage" are the key risk factor combinations. 3) Emergency decisions for risk control are proposed based on risk identification results.

Suggested Citation

  • He, Futong & Ji, Liyan & Li, Cunbin, 2025. "Grid disaster risk identification based on social network analysis," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008275
    DOI: 10.1016/j.ress.2024.110756
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    1. Du, Mijie & Guo, Peng & Zio, Enrico & Zhao, Jing, 2025. "Assessing the vulnerability of power network accounting for demand diversity among urban functional zones," Reliability Engineering and System Safety, Elsevier, vol. 260(C).

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