{"title":"Prioritization of Aging Underground Power Distribution Cables for Maintenance Activities","authors":"Wilson A. Vasquez, D. Jayaweera","doi":"10.1109/PMAPS47429.2020.9183566","DOIUrl":null,"url":null,"abstract":"Identifying the most important components for system reliability helps asset managers to optimize maintenance and replacement plans. In that context, this paper proposes a novel methodology to rank underground power distribution cables considering their age-related repairable failures and their loading conditions. A non-homogeneous Poisson process is used to model age-related repairable failures of cables and to incorporate the loading conditions into the prioritization process. Cables are ranked by using a component-level index that quantifies the impact of their failures (random and age-related) on the system interruption cost. A power distribution system with 64 underground power cable sections was used to assess the methodology. Results suggest that the importance of underground power cables can change when their age-related repairable failures and their loading levels are incorporated into the ranking lists.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PMAPS47429.2020.9183566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Identifying the most important components for system reliability helps asset managers to optimize maintenance and replacement plans. In that context, this paper proposes a novel methodology to rank underground power distribution cables considering their age-related repairable failures and their loading conditions. A non-homogeneous Poisson process is used to model age-related repairable failures of cables and to incorporate the loading conditions into the prioritization process. Cables are ranked by using a component-level index that quantifies the impact of their failures (random and age-related) on the system interruption cost. A power distribution system with 64 underground power cable sections was used to assess the methodology. Results suggest that the importance of underground power cables can change when their age-related repairable failures and their loading levels are incorporated into the ranking lists.