{"title":"使用扩展子空间识别技术的区域间振荡可视化","authors":"J. Ramos, R. Jimenez, E. Barocio","doi":"10.1109/NAPS.2013.6666931","DOIUrl":null,"url":null,"abstract":"Online assessment and control of low-damping power system oscillations is a challenging problem. This paper discusses the use of subspace stochastic method to visualize and characterize the time evolution of power system electromechanical modes. Using normalized instantaneous amplitudes of modal components, two time-varying indexes to determine mode distribution maps are proposed and tested. The method is well suited to automation and can be incorporated to existing wide-area monitoring systems. Simulation studies on a 16-machine, 68-bus test system show the applicability of the proposed technique.","PeriodicalId":421943,"journal":{"name":"2013 North American Power Symposium (NAPS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Visualization of interarea oscillations using an extended subspace identification technique\",\"authors\":\"J. Ramos, R. Jimenez, E. Barocio\",\"doi\":\"10.1109/NAPS.2013.6666931\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Online assessment and control of low-damping power system oscillations is a challenging problem. This paper discusses the use of subspace stochastic method to visualize and characterize the time evolution of power system electromechanical modes. Using normalized instantaneous amplitudes of modal components, two time-varying indexes to determine mode distribution maps are proposed and tested. The method is well suited to automation and can be incorporated to existing wide-area monitoring systems. Simulation studies on a 16-machine, 68-bus test system show the applicability of the proposed technique.\",\"PeriodicalId\":421943,\"journal\":{\"name\":\"2013 North American Power Symposium (NAPS)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS.2013.6666931\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS.2013.6666931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualization of interarea oscillations using an extended subspace identification technique
Online assessment and control of low-damping power system oscillations is a challenging problem. This paper discusses the use of subspace stochastic method to visualize and characterize the time evolution of power system electromechanical modes. Using normalized instantaneous amplitudes of modal components, two time-varying indexes to determine mode distribution maps are proposed and tested. The method is well suited to automation and can be incorporated to existing wide-area monitoring systems. Simulation studies on a 16-machine, 68-bus test system show the applicability of the proposed technique.
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