为避免电磁电压互感器高压模式,提出了一种新的快速供电方法

Y. Jilai, Guo Zhizhong, L. Zhuo
{"title":"为避免电磁电压互感器高压模式,提出了一种新的快速供电方法","authors":"Y. Jilai, Guo Zhizhong, L. Zhuo","doi":"10.1109/ANN.1991.213460","DOIUrl":null,"url":null,"abstract":"A new fast method for supplying preventive measures to avoid the failure of electromagnetic voltage transformers (EMVT) due to sustained overvoltage on switch-off is proposed. This method makes full use of the characteristics of artificial neural networks and utilizes the Kohonen network model to design a classifier which can fast supply a satisfactory solution to prevent EMVT damage due to a sustained overvoltage on switch-off. Tests on a 110 kV EMVT show that the fast method has improved protection performance.<<ETX>>","PeriodicalId":119713,"journal":{"name":"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A new fast method for supplying measures to avoid the high voltage mode of electromagnetic voltage transformer\",\"authors\":\"Y. Jilai, Guo Zhizhong, L. Zhuo\",\"doi\":\"10.1109/ANN.1991.213460\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new fast method for supplying preventive measures to avoid the failure of electromagnetic voltage transformers (EMVT) due to sustained overvoltage on switch-off is proposed. This method makes full use of the characteristics of artificial neural networks and utilizes the Kohonen network model to design a classifier which can fast supply a satisfactory solution to prevent EMVT damage due to a sustained overvoltage on switch-off. Tests on a 110 kV EMVT show that the fast method has improved protection performance.<<ETX>>\",\"PeriodicalId\":119713,\"journal\":{\"name\":\"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANN.1991.213460\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1991.213460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

提出了一种快速提供预防措施的新方法,以避免电磁电压互感器因持续过电压引起的关断故障。该方法充分利用人工神经网络的特点,利用Kohonen网络模型设计一种分类器,能够快速提供满意的解决方案,防止EMVT因持续过压合断而损坏。在110 kV EMVT上的试验表明,该方法提高了保护性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new fast method for supplying measures to avoid the high voltage mode of electromagnetic voltage transformer
A new fast method for supplying preventive measures to avoid the failure of electromagnetic voltage transformers (EMVT) due to sustained overvoltage on switch-off is proposed. This method makes full use of the characteristics of artificial neural networks and utilizes the Kohonen network model to design a classifier which can fast supply a satisfactory solution to prevent EMVT damage due to a sustained overvoltage on switch-off. Tests on a 110 kV EMVT show that the fast method has improved protection performance.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信