Risk Assessment Method for Urban Distribution Systems Under Extreme Heavy Rain Disasters

Extreme natural disasters often lead to large-scale power outages in urban distribution systems. Therefore, this paper models extreme torrential rain disasters and proposes a risk assessment method for urban distribution systems under such extreme conditions. The research includes: describing the impact of torrential rain on distribution systems; dividing the power supply area into grids and establishing a time-varying failure rate model for equipment; setting up power flow constraints; and proposing operational risk indicators.Using the IEEE-33 bus system as an example, the results show that this method can effectively assess the risk of distribution systems under extreme torrential rain conditions.

Authors

Institutions

Publication Details

Published
2025-08-17
DOI
https://doi.org/10.1109/case58245.2025.11163819
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk Assessment Method for Urban Distribution Systems Under Extreme Heavy Rain Disasters

Kang Zheng, Ju Huang, Xiangyu Wu, Yanfeng Xi et al.
Flood Risk Assessment and Management
article

Risk Assessment Method for Urban Distribution Systems Under Extreme Heavy Rain Disasters

Kang Zheng, Ju Huang, Xiangyu Wu, Yanfeng Xi, Liang Chen, Yuxin Zhao
article en

Abstract

Extreme natural disasters often lead to large-scale power outages in urban distribution systems. Therefore, this paper models extreme torrential rain disasters and proposes a risk assessment method for urban distribution systems under such extreme conditions. The research includes: describing the impact of torrential rain on distribution systems; dividing the power supply area into grids and establishing a time-varying failure rate model for equipment; setting up power flow constraints; and proposing operational risk indicators.Using the IEEE-33 bus system as an example, the results show that this method can effectively assess the risk of distribution systems under extreme torrential rain conditions.

Peking University (CN), Beijing Jiaotong University (CN)
Openalex Percentile: Top 76%
Flood Risk Assessment and Management
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.