Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects

Current research lacks a comprehensive analysis of magnetic flux leakage patterns caused by transformer winding defects, which complicates defect detection. To address this, A 3D finite element simulation model of a 110 kV transformer was developed to simulate the winding defects. A study investigat...

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Main Authors: LU Yingqiang, HU Zhongzhong, SHANG Hujun, ZHOU Quan
Format: Article
Language:zho
Published: zhejiang electric power 2025-02-01
Series:Zhejiang dianli
Subjects:
Online Access:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=fd0c6e48-db2b-4dd1-b319-d85286620e39
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author LU Yingqiang
HU Zhongzhong
SHANG Hujun
ZHOU Quan
author_facet LU Yingqiang
HU Zhongzhong
SHANG Hujun
ZHOU Quan
author_sort LU Yingqiang
collection DOAJ
description Current research lacks a comprehensive analysis of magnetic flux leakage patterns caused by transformer winding defects, which complicates defect detection. To address this, A 3D finite element simulation model of a 110 kV transformer was developed to simulate the winding defects. A study investigated magnetic flux leakage under different defect locations and severities. Results show that winding deformations cause significant axial magnetic flux leakage variations between high and low-voltage windings, with an expanded distortion range. In cases of inter-turn short-circuit defects, the surge in current within the short-circuited winding leads to noticeable distortions in the internal magnetic flux leakage, both between high and low-voltage windings and on the outer side of the high-voltage winding. A comparison between experimentally measured leakage distributions and the simulation results confirmed the accuracy of the finite element model. Additionally, detection criteria based on the simulation model were developed, allowing for the identification of localized winding deformations and few-turn short-circuit defects.
format Article
id doaj-art-5cd8ed25a7934ffd95143402c4aec08d
institution DOAJ
issn 1007-1881
language zho
publishDate 2025-02-01
publisher zhejiang electric power
record_format Article
series Zhejiang dianli
spelling doaj-art-5cd8ed25a7934ffd95143402c4aec08d2025-08-20T02:55:35Zzhozhejiang electric powerZhejiang dianli1007-18812025-02-0144211012310.19585/j.zjdl.2025020111007-1881(2025)02-0110-14Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defectsLU Yingqiang0HU Zhongzhong1SHANG Hujun2ZHOU Quan3Guodian Nanjiang Automation Co., Ltd, Nanjing 211100, ChinaGuodian Nanjiang Automation Co., Ltd, Nanjing 211100, ChinaState Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, ChinaState Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, ChinaCurrent research lacks a comprehensive analysis of magnetic flux leakage patterns caused by transformer winding defects, which complicates defect detection. To address this, A 3D finite element simulation model of a 110 kV transformer was developed to simulate the winding defects. A study investigated magnetic flux leakage under different defect locations and severities. Results show that winding deformations cause significant axial magnetic flux leakage variations between high and low-voltage windings, with an expanded distortion range. In cases of inter-turn short-circuit defects, the surge in current within the short-circuited winding leads to noticeable distortions in the internal magnetic flux leakage, both between high and low-voltage windings and on the outer side of the high-voltage winding. A comparison between experimentally measured leakage distributions and the simulation results confirmed the accuracy of the finite element model. Additionally, detection criteria based on the simulation model were developed, allowing for the identification of localized winding deformations and few-turn short-circuit defects.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=fd0c6e48-db2b-4dd1-b319-d85286620e39transformerwinding deformationturn-to-turn short circuitmagnetic flux leakage analysisfinite element simulationwinding defect identification
spellingShingle LU Yingqiang
HU Zhongzhong
SHANG Hujun
ZHOU Quan
Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects
Zhejiang dianli
transformer
winding deformation
turn-to-turn short circuit
magnetic flux leakage analysis
finite element simulation
winding defect identification
title Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects
title_full Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects
title_fullStr Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects
title_full_unstemmed Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects
title_short Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects
title_sort research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects
topic transformer
winding deformation
turn-to-turn short circuit
magnetic flux leakage analysis
finite element simulation
winding defect identification
url https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=fd0c6e48-db2b-4dd1-b319-d85286620e39
work_keys_str_mv AT luyingqiang researchonmagneticfluxleakagecharacteristicsandidentificationmethodsundertypicaltransformerwindingdefects
AT huzhongzhong researchonmagneticfluxleakagecharacteristicsandidentificationmethodsundertypicaltransformerwindingdefects
AT shanghujun researchonmagneticfluxleakagecharacteristicsandidentificationmethodsundertypicaltransformerwindingdefects
AT zhouquan researchonmagneticfluxleakagecharacteristicsandidentificationmethodsundertypicaltransformerwindingdefects