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 | |
| relation.isAuthorOfPublication | b90b225e-d7cf-42d3-b274-074e30423d04 | |
| relation.isAuthorOfPublication.latestForDiscovery | b90b225e-d7cf-42d3-b274-074e30423d04 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- 24819-Article Text-79853-1-10-20191210.pdf
- Size:
- 945.91 KB
- Format:
- Adobe Portable Document Format
