Grid disaster risk identification based on social network analysis

Futong He, Liyan Ji and Cunbin Li

Reliability Engineering and System Safety, 2025, vol. 256, issue C

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.

Keywords: HILF event; Grid disaster risk; Grid disaster system; Social network analysis; Risk factors; Risk identification (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832024008275
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:256:y:2025:i:c:s0951832024008275

DOI: 10.1016/j.ress.2024.110756

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().