{"title":"The Effect of Temporal Discretization on Dynamic Thermal Line Rating","authors":"Tomás Barton, M. Musílek, P. Musílek","doi":"10.1109/EPE51172.2020.9269231","DOIUrl":null,"url":null,"abstract":"Dynamic Thermal Line Rating (DTLR) rating is often applied in discrete time periods during which the rating is held constant. As the applied rating must always be safe under the worst case conditions, it is selected as the minimal rating over the time period. This conservative approach decreases the potential benefit of DTLR because the capacity that is over the minimum of the period is unused. This paper aims to investigate how overall rating is affected when the lengths of the DTLR discretization periods are varied. The stability under minimization property of Weibull distribution is used to derive the relation between the discretization length and the expected value of discretized wind speed. Moreover, data from 490 weather stations located across Canada are used to support the analytical result and to quantify the benefit of DTLR over a large geographical area.","PeriodicalId":177031,"journal":{"name":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 21st International Scientific Conference on Electric Power Engineering (EPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPE51172.2020.9269231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Dynamic Thermal Line Rating (DTLR) rating is often applied in discrete time periods during which the rating is held constant. As the applied rating must always be safe under the worst case conditions, it is selected as the minimal rating over the time period. This conservative approach decreases the potential benefit of DTLR because the capacity that is over the minimum of the period is unused. This paper aims to investigate how overall rating is affected when the lengths of the DTLR discretization periods are varied. The stability under minimization property of Weibull distribution is used to derive the relation between the discretization length and the expected value of discretized wind speed. Moreover, data from 490 weather stations located across Canada are used to support the analytical result and to quantify the benefit of DTLR over a large geographical area.