Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/40
Title: MSSB to Prevent Cable Termination Faults for Long High Voltage Underground Cable Lines
Authors: Akbal, Bahadır
Keywords: Bonding Method
High Voltage Cable Termination
Hybrid Artificial Neural Network
Insulation Fault
Power Transmission
Danish Experience
Systems
Issue Date: 2019
Publisher: KAUNAS UNIV TECHNOLOGY
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.
URI: https://doi.org/10.5755/j01.eie.25.6.24819
https://hdl.handle.net/20.500.13091/40
ISSN: 1392-1215
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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