Electrical Distribution Network's Failure Analysis Based on Weather Conditions

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dc.authorid0000-0002-4891-3963
dc.authorid0000-0003-4030-8002
dc.authorid0000-0002-0967-914X
dc.authorscopusid57193005131
dc.authorscopusid57202847994
dc.authorscopusid24774041700
dc.authorscopusid6601994206
dc.authorwosiduzunoglu, cengiz polat/L-4782-2013
dc.authorwosidKACAR, Firat/C-9496-2019
dc.authorwosidKONAL, Mustafa/ABA-7190-2020
dc.authorwosidKonal, Mustafa/ABA-7181-2020
dc.contributor.authorKonal, Mustafa
dc.contributor.authorÖz, İsmail
dc.contributor.authorUzunoglu, Cengiz Polat
dc.contributor.authorKaçar, Fırat
dc.date.accessioned2022-05-11T14:17:40Z
dc.date.available2022-05-11T14:17:40Z
dc.date.issued2018
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü
dc.description5th International Conference on Electrical and Electronics Engineering (ICEEE) -- MAY 03-05, 2018 -- Istanbul, TURKEY
dc.description.abstractThe failure detection and response time for failures in electrical distribution networks are key elements for proper power management in distribution companies. The reliability of electrical distribution is strictly related with weather conditions especially in overhead lines. Severe weather conditions can rapidly increase failure rates in distribution networks where company responses for failures may delayed consequently. In this study, electrical distribution network statistics of Bedas Company for Gaziosmanpasa district which contains highest overhead line population in Istanbul are investigated. These statistics are collected from failure management system in Bedas Distribution Company between 2014 and 2016. Especially electrical connector and oxidation failure rates are analyzed for different weather conditions. These statistics are compared with first four months of year 2017 which exhibit severe weather conditions and heavy falls. This study reveals the relationship between different weather conditions and failures in electrical distribution network which can be utilized for predictive management for distribution companies in terms of failure elimination and quick failure response.
dc.description.sponsorshipIEEE
dc.identifier.endpage272
dc.identifier.isbn978-1-5386-6392-9
dc.identifier.scopus2-s2.0-85050011449
dc.identifier.startpage269
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6438
dc.identifier.wosWOS:000454450100054
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKonal, Mustafa
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2018 5th International Conference on Electrical and Electronic Engineering (Iceee)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectelectrical distribution
dc.subjectelectricical failure
dc.subjectweather
dc.subjectdistibution company
dc.subjectModels
dc.titleElectrical Distribution Network's Failure Analysis Based on Weather Conditions
dc.typeConference Object

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