A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems

Over the years, power systems have been severely affected by extreme events. This situation has worsened given that climate change has proven to exacerbate their frequency and magnitude. In this context, resilience assessments have proved crucial to prevent and tackle the effects of these events on...

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Main Authors: Alexandre Serrano-Fontova, Haiyu Li, Zhiyu Liao, Magnus Rory Jamieson, Rosa Serrano, Alessandra Parisio, Mathaios Panteli
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10266333/
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author Alexandre Serrano-Fontova
Haiyu Li
Zhiyu Liao
Magnus Rory Jamieson
Rosa Serrano
Alessandra Parisio
Mathaios Panteli
author_facet Alexandre Serrano-Fontova
Haiyu Li
Zhiyu Liao
Magnus Rory Jamieson
Rosa Serrano
Alessandra Parisio
Mathaios Panteli
author_sort Alexandre Serrano-Fontova
collection DOAJ
description Over the years, power systems have been severely affected by extreme events. This situation has worsened given that climate change has proven to exacerbate their frequency and magnitude. In this context, resilience assessments have proved crucial to prevent and tackle the effects of these events on power systems. Some resilience studies have taken advantage of the so-called fragility curves (FCs) to evaluate the vulnerability of the system components against these natural hazards. Conceptually, FCs provide the failure probability of a particular grid asset according to the intensity of an extreme event, which can be determined based on the hazard intensity inherently dictated by the nature of the event. The probability of failure can be obtained following diverse methodologies and criteria. Thus, the resilience assessment of the event may vary significantly depending on how the probability of failure was determined. This paper provides, for the first time, a comprehensive review of the FCs used to model the vulnerability of the power system components, classifying them according to the physical magnitude and the system element subject to each type of event. Furthermore, a comparison of results obtained applying different FCs is developed to show the relevance of their modelling. The content of this paper can be used as a hands-on guide for researchers and power systems engineers to perform resilience studies.
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spelling doaj.art-6246aa6246274508b7d947ecb421105e2023-10-09T23:00:59ZengIEEEIEEE Access2169-35362023-01-011110805010806710.1109/ACCESS.2023.332057910266333A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power SystemsAlexandre Serrano-Fontova0https://orcid.org/0000-0002-5147-6055Haiyu Li1https://orcid.org/0000-0002-5270-7986Zhiyu Liao2https://orcid.org/0000-0002-3663-5329Magnus Rory Jamieson3https://orcid.org/0000-0002-4096-2322Rosa Serrano4https://orcid.org/0000-0002-2579-5167Alessandra Parisio5https://orcid.org/0000-0001-8633-1641Mathaios Panteli6https://orcid.org/0000-0003-4274-529XThe University of Manchester, Manchester, U.KThe University of Manchester, Manchester, U.KThe University of Manchester, Manchester, U.KUniversity of Strathclyde, Glasgow, U.KThe University of Manchester, Manchester, U.KThe University of Manchester, Manchester, U.KUniversity of Cyprus, Nicosia, CyprusOver the years, power systems have been severely affected by extreme events. This situation has worsened given that climate change has proven to exacerbate their frequency and magnitude. In this context, resilience assessments have proved crucial to prevent and tackle the effects of these events on power systems. Some resilience studies have taken advantage of the so-called fragility curves (FCs) to evaluate the vulnerability of the system components against these natural hazards. Conceptually, FCs provide the failure probability of a particular grid asset according to the intensity of an extreme event, which can be determined based on the hazard intensity inherently dictated by the nature of the event. The probability of failure can be obtained following diverse methodologies and criteria. Thus, the resilience assessment of the event may vary significantly depending on how the probability of failure was determined. This paper provides, for the first time, a comprehensive review of the FCs used to model the vulnerability of the power system components, classifying them according to the physical magnitude and the system element subject to each type of event. Furthermore, a comparison of results obtained applying different FCs is developed to show the relevance of their modelling. The content of this paper can be used as a hands-on guide for researchers and power systems engineers to perform resilience studies.https://ieeexplore.ieee.org/document/10266333/Resiliencefragility curves (FCs)distribution networks (DNs)transmission networks (TNs)natural hazardsresilience assessments
spellingShingle Alexandre Serrano-Fontova
Haiyu Li
Zhiyu Liao
Magnus Rory Jamieson
Rosa Serrano
Alessandra Parisio
Mathaios Panteli
A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems
IEEE Access
Resilience
fragility curves (FCs)
distribution networks (DNs)
transmission networks (TNs)
natural hazards
resilience assessments
title A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems
title_full A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems
title_fullStr A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems
title_full_unstemmed A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems
title_short A Comprehensive Review and Comparison of the Fragility Curves Used for Resilience Assessments in Power Systems
title_sort comprehensive review and comparison of the fragility curves used for resilience assessments in power systems
topic Resilience
fragility curves (FCs)
distribution networks (DNs)
transmission networks (TNs)
natural hazards
resilience assessments
url https://ieeexplore.ieee.org/document/10266333/
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