K. Shim, H. Nam, Y. Lim
{"title":"Use of Prony analysis to extract sync information of low frequency oscillation from measured data","authors":"K. Shim, H. Nam, Y. Lim","doi":"10.1002/ETEP.531","DOIUrl":null,"url":null,"abstract":"This paper describes methods to search the sync that takes place in power systems. Discrete signals in power systems can be expressed by the sum of several damped exponential sine functions. Therefore, dominant mode and residues included in the signals are estimated by applying parameter estimation methods. They are compared in their search for the sync among output signals. In the dominant oscillation mode included in many signals, the modes that have similar frequencies and damping constants were selected. By comparing their residues and phases, the sync of low frequency oscillations was examined. By identifying the sync of wide area oscillations, it was possible to differentiate between the generator and load characteristics. The sync exploring method proposed in this paper, together with sync indexes, were applied to a two area system and the KEPCO system to confirm that it is possible to search for the sync phenomenon in signals of large scale power systems. Copyright © 2010 John Wiley & Sons, Ltd.","PeriodicalId":50474,"journal":{"name":"European Transactions on Electrical Power","volume":"1 1","pages":"1746-1762"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/ETEP.531","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Transactions on Electrical Power","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/ETEP.531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
利用proony分析从实测数据中提取低频振荡的同步信息
本文介绍了在电力系统中搜索同步的方法。电力系统中的离散信号可以用几个阻尼指数正弦函数的和来表示。因此,采用参数估计方法估计信号中的主导模态和残数。它们在搜索输出信号之间的同步时进行比较。在许多信号中包含的主导振荡模态中,选择具有相似频率和阻尼常数的模态。通过对其残差和相位的比较,验证了其低频振荡的同步性。通过识别广域振荡的同步,可以区分发电机和负载特性。将本文提出的同步探索方法与同步指标一起应用于两区系统和韩国电力系统,验证了在大型电力系统信号中搜索同步现象的可能性。版权所有©2010 John Wiley & Sons, Ltd
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