A Computational Model for Pre-breakdown in Gas Insulated Switchgear

Qasim Khan, Shady S. Refaat, Haitham Abu-Rub, Hamid Toliyat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Gas insulated switchgears (GIS) have the best insulation performance ensuring least failure incidents and most reliable operation, which justify the higher installation costs. Nevertheless, this popular switchgear also needs partial discharge measurement for insulation diagnosis, as it does detailed modeling and analysis of the insulation is needed. This paper presents a novel computational model of the complex pre-breakdown discharge phenomena that occur due to insulation imperfection in GIS. The paper aims to provide quantifiable parameters modeling equivalent to industrial measured parameters during commissioning of GIS. The proposed model is based on Poisson's equation along with hydrodynamics equations which are utilized to investigate the influence of defect dimensions, electrical pulse features on pre-breakdown incidents and on the alteration of the charge density, electric stress, and temperature distributions around the insulation imperfection.

Original languageEnglish
Title of host publication2019 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages417-421
Number of pages5
ISBN (Electronic)9781728131214
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes
Event2019 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2019 - Richland, United States
Duration: 20 Oct 201923 Oct 2019

Publication series

NameAnnual Report - Conference on Electrical Insulation and Dielectric Phenomena, CEIDP
Volume2019-October
ISSN (Print)0084-9162

Conference

Conference2019 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2019
Country/TerritoryUnited States
CityRichland
Period20/10/1923/10/19

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