Phenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under AC-DC combined voltage

Surface discharge may cause irreversible damage to turn-to-ground insulation in valve windings of converter transformer, where withstand with AC-DC combined voltage. This paper analyzes the phenomenon and characteristics of surface discharge on oil-impregnated pressboard (OIP) under AC-DC combined v...

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Main Authors: Xudong Li, Zhengyong Huang, Jian Li, Tianyan Jiang, Muhammad Ali Mehmood, Shubin Hou
Format: Article
Language:English
Published: AIP Publishing LLC 2018-10-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.5050873
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spelling doaj-028bcaef692e4e58be6341f498cff60f2020-11-25T02:18:07ZengAIP Publishing LLCAIP Advances2158-32262018-10-01810105023105023-1410.1063/1.5050873086810ADVPhenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under AC-DC combined voltageXudong Li0Zhengyong Huang1Jian Li2Tianyan Jiang3Muhammad Ali Mehmood4Shubin Hou5State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Shapingba District, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University), Shapingba District, Chongqing 400044, ChinaSurface discharge may cause irreversible damage to turn-to-ground insulation in valve windings of converter transformer, where withstand with AC-DC combined voltage. This paper analyzes the phenomenon and characteristics of surface discharge on oil-impregnated pressboard (OIP) under AC-DC combined voltage, and develops a discharge state recognition method. The cylinder-plate discharge model was used to simulate surface discharge. The results showed that discharge development and OIP failure were significantly accelerated by white marks on OIP which were essentially gaseous channels. The discharge characteristics before and after white mark occurrence were both dominated by AC component because of its bigger contribution to electrical field distribution (EFD), and the DC component had obvious effect on accelerating OIP failure. A set of features representing discharge state after white mark occurrence was selected out by the entropy weight method (EWM), based on which the discharge process was classified into three states (stable, fast development and pre-breakdown state) by fuzzy C means clustering method (FCM). A support vector machine (SVM) classifier to recognize discharge state was trained and showed a good performance, whose average assessment accuracy was up to 91.98%. Moreover, the ratio between negative and positive discharge numbers could be used as an auxiliary indicator of pre-breakdown state.http://dx.doi.org/10.1063/1.5050873
collection DOAJ
language English
format Article
sources DOAJ
author Xudong Li
Zhengyong Huang
Jian Li
Tianyan Jiang
Muhammad Ali Mehmood
Shubin Hou
spellingShingle Xudong Li
Zhengyong Huang
Jian Li
Tianyan Jiang
Muhammad Ali Mehmood
Shubin Hou
Phenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under AC-DC combined voltage
AIP Advances
author_facet Xudong Li
Zhengyong Huang
Jian Li
Tianyan Jiang
Muhammad Ali Mehmood
Shubin Hou
author_sort Xudong Li
title Phenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under AC-DC combined voltage
title_short Phenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under AC-DC combined voltage
title_full Phenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under AC-DC combined voltage
title_fullStr Phenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under AC-DC combined voltage
title_full_unstemmed Phenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under AC-DC combined voltage
title_sort phenomenon analysis and state classification of surface discharge on oil-impregnated pressboard under ac-dc combined voltage
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2018-10-01
description Surface discharge may cause irreversible damage to turn-to-ground insulation in valve windings of converter transformer, where withstand with AC-DC combined voltage. This paper analyzes the phenomenon and characteristics of surface discharge on oil-impregnated pressboard (OIP) under AC-DC combined voltage, and develops a discharge state recognition method. The cylinder-plate discharge model was used to simulate surface discharge. The results showed that discharge development and OIP failure were significantly accelerated by white marks on OIP which were essentially gaseous channels. The discharge characteristics before and after white mark occurrence were both dominated by AC component because of its bigger contribution to electrical field distribution (EFD), and the DC component had obvious effect on accelerating OIP failure. A set of features representing discharge state after white mark occurrence was selected out by the entropy weight method (EWM), based on which the discharge process was classified into three states (stable, fast development and pre-breakdown state) by fuzzy C means clustering method (FCM). A support vector machine (SVM) classifier to recognize discharge state was trained and showed a good performance, whose average assessment accuracy was up to 91.98%. Moreover, the ratio between negative and positive discharge numbers could be used as an auxiliary indicator of pre-breakdown state.
url http://dx.doi.org/10.1063/1.5050873
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