利用广域测量进行电力系统事件定位分析

R. Gardner, J.K. Wang, Yilu Liu
{"title":"利用广域测量进行电力系统事件定位分析","authors":"R. Gardner, J.K. Wang, Yilu Liu","doi":"10.1109/PES.2006.1709542","DOIUrl":null,"url":null,"abstract":"Power system frequency can tell volumes about the health and state of a power system. Moreover, the manner in which angle and frequency perturbations travel throughout the power grid has been closely studied in the past. Such perturbations are known to propagate throughout the grid as a function of time and space. Using measurements from a wide-area frequency monitoring network (FNET), one can observe the electromechanical wave signature of power system events in frequency data. In this paper, a brief synopsis of FNET is presented along with an analysis of several generator tripping events. The analysis is comprised of several event location methods and resulting observations. The eventual goal of this research is to formulate a robust event location algorithm that can be used online and in real-time to locate with sufficient accuracy the hypocenter of power system events irrespective of utility boundaries","PeriodicalId":267582,"journal":{"name":"2006 IEEE Power Engineering Society General Meeting","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"62","resultStr":"{\"title\":\"Power system event location analysis using wide-area measurements\",\"authors\":\"R. Gardner, J.K. Wang, Yilu Liu\",\"doi\":\"10.1109/PES.2006.1709542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Power system frequency can tell volumes about the health and state of a power system. Moreover, the manner in which angle and frequency perturbations travel throughout the power grid has been closely studied in the past. Such perturbations are known to propagate throughout the grid as a function of time and space. Using measurements from a wide-area frequency monitoring network (FNET), one can observe the electromechanical wave signature of power system events in frequency data. In this paper, a brief synopsis of FNET is presented along with an analysis of several generator tripping events. The analysis is comprised of several event location methods and resulting observations. The eventual goal of this research is to formulate a robust event location algorithm that can be used online and in real-time to locate with sufficient accuracy the hypocenter of power system events irrespective of utility boundaries\",\"PeriodicalId\":267582,\"journal\":{\"name\":\"2006 IEEE Power Engineering Society General Meeting\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"62\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Power Engineering Society General Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PES.2006.1709542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Power Engineering Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2006.1709542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 62

摘要

电力系统频率可以告诉大量关于电力系统的健康和状态。此外,角度和频率扰动在整个电网中传播的方式在过去已经被仔细研究过。众所周知,这种扰动作为时间和空间的函数在整个网格中传播。利用广域频率监测网(FNET)的测量数据,可以在频率数据中观察到电力系统事件的机电波特征。本文简要介绍了FNET,并对若干发电机跳闸事件进行了分析。分析由几种事件定位方法和结果观测组成。本研究的最终目标是制定一种鲁棒的事件定位算法,该算法可以在线和实时地对电力系统事件的震源进行足够精确的定位,而不受公用事业边界的限制
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power system event location analysis using wide-area measurements
Power system frequency can tell volumes about the health and state of a power system. Moreover, the manner in which angle and frequency perturbations travel throughout the power grid has been closely studied in the past. Such perturbations are known to propagate throughout the grid as a function of time and space. Using measurements from a wide-area frequency monitoring network (FNET), one can observe the electromechanical wave signature of power system events in frequency data. In this paper, a brief synopsis of FNET is presented along with an analysis of several generator tripping events. The analysis is comprised of several event location methods and resulting observations. The eventual goal of this research is to formulate a robust event location algorithm that can be used online and in real-time to locate with sufficient accuracy the hypocenter of power system events irrespective of utility boundaries
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