Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather

Reliable power grids are also vulnerable to extreme events, which are with a low probability but highly risk events, such as a typhoon. Power system, as an important infrastructure, should have the ability to withstand the adverse effect of such extreme events. This paper proposes a quantitative res...

Full description

Bibliographic Details
Main Authors: Yihao Yang, Wenhu Tang, Yang Liu, Yanli Xin, Qinghua Wu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8418359/
id doaj-c699d4e934684085b68c5921a84e2d77
record_format Article
spelling doaj-c699d4e934684085b68c5921a84e2d772021-03-29T21:20:36ZengIEEEIEEE Access2169-35362018-01-016407474075610.1109/ACCESS.2018.28588608418359Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon WeatherYihao Yang0Wenhu Tang1https://orcid.org/0000-0003-1823-2355Yang Liu2Yanli Xin3Qinghua Wu4School of Electric Power Engineering, South China University of Technology, Guangzhou, ChinaSchool of Electric Power Engineering, South China University of Technology, Guangzhou, ChinaSchool of Electric Power Engineering, South China University of Technology, Guangzhou, ChinaSchool of Electric Power Engineering, South China University of Technology, Guangzhou, ChinaSchool of Electric Power Engineering, South China University of Technology, Guangzhou, ChinaReliable power grids are also vulnerable to extreme events, which are with a low probability but highly risk events, such as a typhoon. Power system, as an important infrastructure, should have the ability to withstand the adverse effect of such extreme events. This paper proposes a quantitative resilience assessment framework for power transmission systems operated under typhoon weather, which considers both the spatial and temporal impacts of typhoon. The proposed framework allows systematic estimation of resilience considering weather intensity, fault location of components, restoration resources, and emergency response plans. The typhoon wind field model for disaster risk assessment is applied to evaluate the intensity and the duration of impacts. The finite element modeling of components is developed to model the outage probability of components. Anew resilience index considering the duration of extreme events (RICD) is proposed, which not only considers the performance of system but also considers characteristics of disruption. The proposed method is demonstrated by four case studies using the modified IEEE 6-bus test system. The numerical results reveal that the proposed method is able to quantify the influence of extreme event on power system resilience, and it shows that RICD is more feasible than two traditional indices in terms of normalization and comparability.https://ieeexplore.ieee.org/document/8418359/Extreme eventpower transmission systemresilience assessmentsequential Monte Carlo simulationtyphoon
collection DOAJ
language English
format Article
sources DOAJ
author Yihao Yang
Wenhu Tang
Yang Liu
Yanli Xin
Qinghua Wu
spellingShingle Yihao Yang
Wenhu Tang
Yang Liu
Yanli Xin
Qinghua Wu
Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather
IEEE Access
Extreme event
power transmission system
resilience assessment
sequential Monte Carlo simulation
typhoon
author_facet Yihao Yang
Wenhu Tang
Yang Liu
Yanli Xin
Qinghua Wu
author_sort Yihao Yang
title Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather
title_short Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather
title_full Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather
title_fullStr Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather
title_full_unstemmed Quantitative Resilience Assessment for Power Transmission Systems Under Typhoon Weather
title_sort quantitative resilience assessment for power transmission systems under typhoon weather
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description Reliable power grids are also vulnerable to extreme events, which are with a low probability but highly risk events, such as a typhoon. Power system, as an important infrastructure, should have the ability to withstand the adverse effect of such extreme events. This paper proposes a quantitative resilience assessment framework for power transmission systems operated under typhoon weather, which considers both the spatial and temporal impacts of typhoon. The proposed framework allows systematic estimation of resilience considering weather intensity, fault location of components, restoration resources, and emergency response plans. The typhoon wind field model for disaster risk assessment is applied to evaluate the intensity and the duration of impacts. The finite element modeling of components is developed to model the outage probability of components. Anew resilience index considering the duration of extreme events (RICD) is proposed, which not only considers the performance of system but also considers characteristics of disruption. The proposed method is demonstrated by four case studies using the modified IEEE 6-bus test system. The numerical results reveal that the proposed method is able to quantify the influence of extreme event on power system resilience, and it shows that RICD is more feasible than two traditional indices in terms of normalization and comparability.
topic Extreme event
power transmission system
resilience assessment
sequential Monte Carlo simulation
typhoon
url https://ieeexplore.ieee.org/document/8418359/
work_keys_str_mv AT yihaoyang quantitativeresilienceassessmentforpowertransmissionsystemsundertyphoonweather
AT wenhutang quantitativeresilienceassessmentforpowertransmissionsystemsundertyphoonweather
AT yangliu quantitativeresilienceassessmentforpowertransmissionsystemsundertyphoonweather
AT yanlixin quantitativeresilienceassessmentforpowertransmissionsystemsundertyphoonweather
AT qinghuawu quantitativeresilienceassessmentforpowertransmissionsystemsundertyphoonweather
_version_ 1724193127783202816