Spatial–Temporal Resilience Assessment of Distribution Systems Under Typhoon Coupled With Rainstorm Events

This article proposes a novel spatial–temporal resilience assessment scheme for the distribution system (DS) to address the issue of overoptimistic and potentially misleading assessment due to the imprecision of a single typhoon wind speed model and the neglect of the coupled impact of typhoon rainstorm. First, a dynamic weighted iterative algorithm (DWIA) is proposed for accurate modeling of the typhoon wind speed, and a DWIA-based equivalent wind speed (EWS) model is further proposed for improving the accuracy of wind speed calculation under the coupling effect of typhoon rainstorm. Then, EWS-based uncertain failure probability models are developed for passive and active components, such as distribution lines, poles, and photovoltaics, and the adverse impacts of typhoon coupled with rainstorm events (TCREs) on the outputs of active components are considered. Furthermore, a set of normalized resilience metrics is defined, and sequential Monte Carlo simulation is adopted to evaluate the DS resilience against the TCRE as it travels inland. Finally, the modified IEEE 33-bus system and the actual distribution system from Southern China affected by the TCRE are both tested and analyzed to validate the effectiveness of the proposed scheme. The numerical results show that the proposed scheme can effectively quantify the adverse impact of the TCRE on the DS, and provide assistance for the proactive resilience control of the DS.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2024-10-03
DOI
https://doi.org/10.1109/tii.2024.3450079
Citations
22
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
5.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial–Temporal Resilience Assessment of Distribution Systems Under Typhoon Coupled With Rainstorm Events

Cong Zhang, Quan Zhou, Lipeng Zhu, Jiayong Li et al.
22 citations
IEEE Transactions on Industrial Informatics
Infrastructure Resilience and Vulnerability Analysis
5.74
article

Spatial–Temporal Resilience Assessment of Distribution Systems Under Typhoon Coupled With Rainstorm Events

Cong Zhang, Quan Zhou, Lipeng Zhu, Jiayong Li, Zhikang Shuai, Wei Zhang, Shiran Cao
article en
22 citations

Abstract

This article proposes a novel spatial–temporal resilience assessment scheme for the distribution system (DS) to address the issue of overoptimistic and potentially misleading assessment due to the imprecision of a single typhoon wind speed model and the neglect of the coupled impact of typhoon rainstorm. First, a dynamic weighted iterative algorithm (DWIA) is proposed for accurate modeling of the typhoon wind speed, and a DWIA-based equivalent wind speed (EWS) model is further proposed for improving the accuracy of wind speed calculation under the coupling effect of typhoon rainstorm. Then, EWS-based uncertain failure probability models are developed for passive and active components, such as distribution lines, poles, and photovoltaics, and the adverse impacts of typhoon coupled with rainstorm events (TCREs) on the outputs of active components are considered. Furthermore, a set of normalized resilience metrics is defined, and sequential Monte Carlo simulation is adopted to evaluate the DS resilience against the TCRE as it travels inland. Finally, the modified IEEE 33-bus system and the actual distribution system from Southern China affected by the TCRE are both tested and analyzed to validate the effectiveness of the proposed scheme. The numerical results show that the proposed scheme can effectively quantify the adverse impact of the TCRE on the DS, and provide assistance for the proactive resilience control of the DS.

IEEE Transactions on Industrial InformaticsVol. 21(1)
Hunan University (CN)
National Natural Science Foundation of China, National Science Fund for Distinguished Young Scholars
Climate action
Openalex Percentile: Top 3%
Infrastructure Resilience and Vulnerability Analysis
5.74
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.