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Analysing power system cascading failures and service disruptions in a data-scarce environment : a case study of Vietnam
ID Ye, Mengqi (Author), ID Vanniya Perumal, Surender Raj (Author), ID Pantoš, Miloš (Author), ID Ribnikar Cimerman, Sebastijan (Author), ID Ward, Philip J (Author), ID Koks, Elco E. (Author)

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Abstract
Cascading failures in power grids can escalate localised disruptions into extensive service outages. This study presents a transparent, reproducible framework for constructing large-scale power grid models from publicly available data. To assess service impacts on industrial users, we combine industrial points of interest with OpenStreetMap industrial zones and link them to substations using a capacity- and distance-informed allocation method. We examine two disruption scenarios: 1) random failures using percolation analysis and 2) hazard-driven failures using Monte Carlo sampling of wind-induced fragility curves derived from the 2024 Typhoon Yagi wind field. Results show that the Vietnam high-voltage grid is structurally vulnerable, with the giant component fragmenting rapidly under low levels of random bus removal, indicating limited redundancy. Although more than 95 % of transmission lines show no overload under random disruptions, critical corridors around major urban centres exhibit high overload probabilities exceeding 0.5. Under Typhoon Yagi, both direct and indirect failures contribute substantially to disruptions, with indirect impacts extending beyond wind exposed areas. Despite an average served load ratio of 0.91, 26 % of loads lose service in at least one simulation, revealing pronounced spatial disparities in resilience. These findings provide actionable insights for risk-informed resilience planning and targeted reinforcement investment.

Language:English
Keywords:cascading failures, service disruptions, network analysis, power flow model, tropical cyclones
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Electrical Engineering
Publication status:Published
Publication version:Version of Record
Year:2026
Number of pages:15 str.
Numbering:Vol. 272, part 2, art. 112575
PID:20.500.12556/RUL-181271 This link opens in a new window
UDC:621.31
ISSN on article:0951-8320
DOI:10.1016/j.ress.2026.112575 This link opens in a new window
COBISS.SI-ID:273502211 This link opens in a new window
Publication date in RUL:30.03.2026
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Downloads:10
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Record is a part of a journal

Title:Reliability engineering & systems safety
Shortened title:Reliab. eng. syst. saf.
Publisher:Elsevier Applied Science
ISSN:0951-8320
COBISS.SI-ID:27385344 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:kaskadni izpadi, motnje storitev, analiza omrežja, model pretoka moči, tropski cikloni

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