Power Transformer Insulation Diagnosis Using De-Trapped Charge Affected Short-Duration Dielectric Response

IF 5.6 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-10-30 DOI:10.1109/TIM.2024.3488154
Somesh Ganguly;Arijit Baral;Sivaji Chakravorti
{"title":"Power Transformer Insulation Diagnosis Using De-Trapped Charge Affected Short-Duration Dielectric Response","authors":"Somesh Ganguly;Arijit Baral;Sivaji Chakravorti","doi":"10.1109/TIM.2024.3488154","DOIUrl":null,"url":null,"abstract":"The polarization and depolarization current (PDC) gets affected by de-trapped charges. Analysis of such currents leads to an inaccurate assessment of the transformer insulation condition. Existing insulation model-based methods assume the polarization current to be free of the de-trapped charges. This assumption does not always hold good; moreover, most of the time series forecasting methods available in the literature are based on this assumption. A novel method has been proposed for obtaining the depolarization current, which is less affected by the de-trapping current, from short-duration de-trapped charge affected polarization current. The result presented in the article demonstrates that the use of data that is less affected by de-trapped charges leads to reliable diagnosis. The proposed analysis has been formulated and tested on data collected from various real-life transformers.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"73 ","pages":"1-11"},"PeriodicalIF":5.6000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Instrumentation and Measurement","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10739352/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

The polarization and depolarization current (PDC) gets affected by de-trapped charges. Analysis of such currents leads to an inaccurate assessment of the transformer insulation condition. Existing insulation model-based methods assume the polarization current to be free of the de-trapped charges. This assumption does not always hold good; moreover, most of the time series forecasting methods available in the literature are based on this assumption. A novel method has been proposed for obtaining the depolarization current, which is less affected by the de-trapping current, from short-duration de-trapped charge affected polarization current. The result presented in the article demonstrates that the use of data that is less affected by de-trapped charges leads to reliable diagnosis. The proposed analysis has been formulated and tested on data collected from various real-life transformers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用脱困电荷影响短时介电响应诊断电力变压器绝缘
极化和去极化电流 (PDC) 会受到去俘获电荷的影响。对此类电流的分析会导致对变压器绝缘状况的不准确评估。现有的基于绝缘模型的方法假定极化电流不含去俘获电荷。但这一假设并不总能成立;此外,文献中的大多数时间序列预测方法都是基于这一假设。本文提出了一种新方法,从受短时去俘获电荷影响的极化电流中获取受去俘获电流影响较小的去极化电流。文章中介绍的结果表明,使用受去俘获电荷影响较小的数据可以进行可靠的诊断。所提出的分析方法是根据从各种实际变压器中收集的数据制定和测试的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
期刊最新文献
Errata to “A Spherical Coil Array for the Calibration of Whole-Head Magnetoencephalograph Systems” Adaptive EPI-Matching Cost for Light Field Disparity Estimation Robust Surface Area Measurement of Unorganized Point Clouds Based on Multiscale Supervoxel Segmentation Optimized Fuzzy Slope Entropy: A Complexity Measure for Nonlinear Time Series A Multidepth Step-Training Convolutional Neural Network for Power Machinery Fault Diagnosis Under Variable Loads
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1