Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
Repository of the University of Ljubljana
Open Science Slovenia
Open Science
DiKUL
slv
|
eng
Search
Advanced
New in RUL
About RUL
In numbers
Help
Sign in
Details
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
)
PDF - Presentation file,
Download
(5,40 MB)
MD5: 36E293D8BA7AD1404DE5D96667F284FE
URL - Source URL, Visit
https://www.sciencedirect.com/science/article/pii/S0951832026003893?via%3Dihub
Image galllery
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
UDC:
621.31
ISSN on article:
0951-8320
DOI:
10.1016/j.ress.2026.112575
COBISS.SI-ID:
273502211
Publication date in RUL:
30.03.2026
Views:
47
Downloads:
10
Metadata:
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Copy citation
Share:
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
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
Similar documents
Similar works from RUL:
Similar works from other Slovenian collections:
Back