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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Online Access: | http://dx.doi.org/10.1063/1.5050873 |
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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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