利用特征系统实现算法从实测数据计算汽轮发电机次同步扭转模态

J. Sanchez-Gasca
{"title":"利用特征系统实现算法从实测数据计算汽轮发电机次同步扭转模态","authors":"J. Sanchez-Gasca","doi":"10.1109/PESW.2001.917259","DOIUrl":null,"url":null,"abstract":"This paper demonstrates the feasibility of using the system identification method known as the eigensystem realization algorithm (ERA) as a means for computing the subsynchronous torsional modes of turbine-generator sets. Measured data obtained during an out-of-phase synchronization test of a large turbine generator are used to perform the modal computation. Both front and rear standard speeds are used. The results are compared with those obtained using more conventional methods.","PeriodicalId":253534,"journal":{"name":"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Computation of turbine-generator subsynchronous torsional modes from measured data using the eigensystem realization algorithm\",\"authors\":\"J. Sanchez-Gasca\",\"doi\":\"10.1109/PESW.2001.917259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper demonstrates the feasibility of using the system identification method known as the eigensystem realization algorithm (ERA) as a means for computing the subsynchronous torsional modes of turbine-generator sets. Measured data obtained during an out-of-phase synchronization test of a large turbine generator are used to perform the modal computation. Both front and rear standard speeds are used. The results are compared with those obtained using more conventional methods.\",\"PeriodicalId\":253534,\"journal\":{\"name\":\"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-01-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESW.2001.917259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESW.2001.917259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

摘要

本文论证了用特征系统实现算法(ERA)作为计算汽轮发电机组次同步扭转模态的方法的可行性。利用某大型汽轮发电机失相同步试验的实测数据进行了模态计算。前面和后面的标准速度都使用。并将所得结果与常规方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation of turbine-generator subsynchronous torsional modes from measured data using the eigensystem realization algorithm
This paper demonstrates the feasibility of using the system identification method known as the eigensystem realization algorithm (ERA) as a means for computing the subsynchronous torsional modes of turbine-generator sets. Measured data obtained during an out-of-phase synchronization test of a large turbine generator are used to perform the modal computation. Both front and rear standard speeds are used. The results are compared with those obtained using more conventional methods.
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