Wind-Induced Electric Power Interruption: A Review of Risk Source, Risk Exposure, and Risk Mitigation

Abstract Wind disasters often cause widespread power outages, posing a serious threat to the safe operation of cities. This article systematically reviews key advances in early warning research on wind-induced power outages based on the framework of risk source, risk exposure, and risk mitigation. For risk sources, existing studies focus on wind load forecasting and the mechanisms that induce tree failure. For risk exposure, research has matured in analyzing wind-induced transmission and distribution circuit failures, while critical node identification and fault-propagation modeling have garnered extensive interest. For risk mitigation, the application of physical reinforcing, network reconfiguration, emergency power deployment, and intelligent dispatch has markedly strengthened pre-event preparedness and mid-event response. However, several gaps remain in current research. (1) Wind-field modeling often relies on stationary-wind assumptions and single-parameter meteorological inputs, making it difficult to capture the complexity of dynamic processes under evolving, nonstationary typhoon winds. (2) In the urban environment, the cascading faults in the fault propagation mechanism of the power system have not yet been fully analyzed. (3) Power outage prediction models rely on static data and analysis of isolated variables. Mainstream machine learning methods overly focus on historical data fitting while neglecting the physical consistency of the disaster process. (4) Mitigation strategies often emphasize localized hardening and post-event response, lacking pre-disaster resilience planning and system design.

Authors

Institutions

Publication Details

Journal
International Journal of Disaster Risk Science
Published
2026-03-27
DOI
https://doi.org/10.1007/s13753-026-00706-0
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wind-Induced Electric Power Interruption: A Review of Risk Source, Risk Exposure, and Risk Mitigation

Zhen Xu, Donglian Gu, Jingwei Fu, Qingrui Yue
International Journal of Disaster Risk Science
Power System Reliability and Maintenance
article

Wind-Induced Electric Power Interruption: A Review of Risk Source, Risk Exposure, and Risk Mitigation

Zhen Xu, Donglian Gu, Jingwei Fu, Qingrui Yue
article en

Abstract

Abstract Wind disasters often cause widespread power outages, posing a serious threat to the safe operation of cities. This article systematically reviews key advances in early warning research on wind-induced power outages based on the framework of risk source, risk exposure, and risk mitigation. For risk sources, existing studies focus on wind load forecasting and the mechanisms that induce tree failure. For risk exposure, research has matured in analyzing wind-induced transmission and distribution circuit failures, while critical node identification and fault-propagation modeling have garnered extensive interest. For risk mitigation, the application of physical reinforcing, network reconfiguration, emergency power deployment, and intelligent dispatch has markedly strengthened pre-event preparedness and mid-event response. However, several gaps remain in current research. (1) Wind-field modeling often relies on stationary-wind assumptions and single-parameter meteorological inputs, making it difficult to capture the complexity of dynamic processes under evolving, nonstationary typhoon winds. (2) In the urban environment, the cascading faults in the fault propagation mechanism of the power system have not yet been fully analyzed. (3) Power outage prediction models rely on static data and analysis of isolated variables. Mainstream machine learning methods overly focus on historical data fitting while neglecting the physical consistency of the disaster process. (4) Mitigation strategies often emphasize localized hardening and post-event response, lacking pre-disaster resilience planning and system design.

International Journal of Disaster Risk Science
Beijing Normal University (CN), Beijing Urban Construction Design & Development Group (China) (CN), Beijing Urban Systems Engineering Research Center (CN)
Climate action
Openalex Percentile: Top 3%
Power System Reliability and Maintenance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.