Integrated Method of Assessment the Type of Damages, their Localization and Predicting the Destruction of High-Voltage Electrical Equipment Insulators by the Partial Discharges Characteristics

IF 0.3 Q4 ENERGY & FUELS Problemele Energeticii Regionale Pub Date : 2022-02-01 DOI:10.52254/1857-0070.2022.1-53.12
А.М. Gataullin, D. F. Gubaev
{"title":"Integrated Method of Assessment the Type of Damages, their Localization and Predicting the Destruction of High-Voltage Electrical Equipment Insulators by the Partial Discharges Characteristics","authors":"А.М. Gataullin, D. F. Gubaev","doi":"10.52254/1857-0070.2022.1-53.12","DOIUrl":null,"url":null,"abstract":"The aim of this study is to improve the accuracy of localization of defects in insulators and determine their type. This goal is achieved by solving the problem of combining contact and remote methods for polymer and porcelain insulators using model partial discharges. The most significant results are the regularities of the dynamics of the characteristics of partial discharges up to the prebreakdown situation for porcelain insulators, the study of the statistical distributions of partial discharges depending on their intensity, and the identification of the features of the statistical distribution of surface discharges. Part of the work is devoted to the study of the characteristics of partial discharges and their sources by spectra, polarity, statistical distributions, oscillograms, which is important from the point of view of automating the recognition of corona and internal partial discharges, as well as for the recognition of porcelain insulators destroyed by partial discharges. Regularities of changes in the statistical distribution of partial discharges up to the pre-breakdown situation were established. At the same time, the breakdown signs of the model discharge gap, the breakdown voltage values for defective and operable porcelain insulators are determined, which can be used to train models of artificial neural networks and recognize the pre-breakdown situation based on them. The most significant results were: assessment of the ohmic resistance of porcelain insulators by the characteristics of partial discharges, recognition of corona, internal and surface partial discharges of polymer insulators, localization of defects, using electromagnetic radiation sensors.","PeriodicalId":41974,"journal":{"name":"Problemele Energeticii Regionale","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Problemele Energeticii Regionale","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52254/1857-0070.2022.1-53.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 1

Abstract

The aim of this study is to improve the accuracy of localization of defects in insulators and determine their type. This goal is achieved by solving the problem of combining contact and remote methods for polymer and porcelain insulators using model partial discharges. The most significant results are the regularities of the dynamics of the characteristics of partial discharges up to the prebreakdown situation for porcelain insulators, the study of the statistical distributions of partial discharges depending on their intensity, and the identification of the features of the statistical distribution of surface discharges. Part of the work is devoted to the study of the characteristics of partial discharges and their sources by spectra, polarity, statistical distributions, oscillograms, which is important from the point of view of automating the recognition of corona and internal partial discharges, as well as for the recognition of porcelain insulators destroyed by partial discharges. Regularities of changes in the statistical distribution of partial discharges up to the pre-breakdown situation were established. At the same time, the breakdown signs of the model discharge gap, the breakdown voltage values for defective and operable porcelain insulators are determined, which can be used to train models of artificial neural networks and recognize the pre-breakdown situation based on them. The most significant results were: assessment of the ohmic resistance of porcelain insulators by the characteristics of partial discharges, recognition of corona, internal and surface partial discharges of polymer insulators, localization of defects, using electromagnetic radiation sensors.
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
高压电气设备绝缘子局部放电损伤类型、损伤定位及损伤预测的综合方法
本研究的目的是提高绝缘子缺陷定位的准确性并确定其类型。这一目标是通过解决使用模型局部放电的聚合物和瓷绝缘子的接触和远程方法相结合的问题来实现的。最重要的结果是瓷绝缘子局部放电特性到预击穿状态的动力学规律,研究局部放电随强度的统计分布,以及识别表面放电统计分布的特征。部分工作致力于通过光谱、极性、统计分布、示波图研究局部放电的特征及其来源,这对于自动识别电晕和内部局部放电以及识别因局部放电而损坏的瓷绝缘子非常重要。建立了局部放电统计分布到击穿前的变化规律。同时,确定了模型放电间隙的击穿迹象、有缺陷和可操作瓷绝缘子的击穿电压值,可用于训练人工神经网络模型,并基于这些模型识别预击穿情况。最重要的结果是:通过局部放电特性评估瓷绝缘子的欧姆电阻,识别电晕,聚合物绝缘子的内部和表面局部放电,使用电磁辐射传感器定位缺陷。
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
CiteScore
0.70
自引率
33.30%
发文量
38
期刊最新文献
Reduction of Voltage Fluctuations in Electrical Networks Supplying Motors with a Rapidly Changing Load by Installing Longitudinal Compensation Batteries Intelligent System of Relay Protection of Electrical Network 6-10 kV with the Implementation of Automatic Correction of the Operation Set Point Energy-Efficient Modes of Dehydration of Pome Fruits during Microwave Treatment in Combination with Convection Congestion Management Using an Optimized Deep Convolution Neural Network in Deregulated Environment Study of the Efficiency of Heat-Supply Systems with Steam Turbine CHP Plants, Taking into Account Changes in the Temperature of the Delivery Water during Transportation
×
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