Mssb To Prevent Cable Termination Faults for Long High Voltage Underground Cable Lines

dc.contributor.author Akbal, Bahadır
dc.date.accessioned 2021-12-13T10:19:40Z
dc.date.available 2021-12-13T10:19:40Z
dc.date.issued 2019
dc.description.abstract Cable termination fault is one of the most important problems for high voltage underground cable lines (HVUCL). Harmonic current (HC) and the sheath current (SC) are causes of cable termination faults of HVUCL. The sheath voltage (SV) of cable increases due to SC and HC also. So, the electroshock risk for human occurs. In this study, cable termination faults are examined for long HVUCL. In literature, solid bonding (SB) and sectional solid bonding (SSB) methods are used to reduce harmonic distortion rate and SC effect in HVUCL. However, when bonding of long HVUCL is made with SB and SSB, the limits of touch voltage and harmonic distortion are exceeded. Therefore, bonding of long HVUCL is made by the modified SSB (MSSB). In MSSB, SV of HVUCL should be known. Thus SV of HVUCL is forecasted by using artificial neural network and hybrid artificial neural networks (HANN) before the long HVUCL is installed. MSSB parameters and HANN are optimized by optimization method. The limits of touch voltage and harmonic distortion are restricted by using MSSB in long HVUCL under high harmonic distortion conditions. en_US
dc.identifier.doi 10.5755/j01.eie.25.6.24819
dc.identifier.issn 1392-1215
dc.identifier.issn 2029-5731
dc.identifier.scopus 2-s2.0-85077438497
dc.identifier.uri https://doi.org/10.5755/j01.eie.25.6.24819
dc.identifier.uri https://hdl.handle.net/20.500.13091/40
dc.language.iso en en_US
dc.publisher KAUNAS UNIV TECHNOLOGY en_US
dc.relation.ispartof ELEKTRONIKA IR ELEKTROTECHNIKA en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Bonding Method en_US
dc.subject High Voltage Cable Termination en_US
dc.subject Hybrid Artificial Neural Network en_US
dc.subject Insulation Fault en_US
dc.subject Power Transmission en_US
dc.subject Danish Experience en_US
dc.subject Systems en_US
dc.title Mssb To Prevent Cable Termination Faults for Long High Voltage Underground Cable Lines en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.scopusid 55364837100
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
gdc.description.endpage 14 en_US
gdc.description.issue 6 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 8 en_US
gdc.description.volume 25 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W2994971117
gdc.identifier.wos WOS:000502273100002
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 3.0
gdc.oaire.influence 2.7703835E-9
gdc.oaire.isgreen false
gdc.oaire.keywords hybrid artificial neural network
gdc.oaire.keywords insulation fault
gdc.oaire.keywords high voltage cable termination
gdc.oaire.keywords bonding method
gdc.oaire.keywords Electrical engineering. Electronics. Nuclear engineering
gdc.oaire.keywords TK1-9971
gdc.oaire.popularity 4.2409174E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 0.49579575
gdc.openalex.normalizedpercentile 0.67
gdc.opencitations.count 4
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 5
gdc.plumx.scopuscites 4
gdc.scopus.citedcount 4
gdc.virtual.author Akbal, Bahadır
gdc.wos.citedcount 4
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relation.isAuthorOfPublication.latestForDiscovery b90b225e-d7cf-42d3-b274-074e30423d04

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