{"title":"基于Krylov子空间的小信号稳定性分析的临界特征值跟踪","authors":"Y. Chabane, A. Hellal","doi":"10.1109/ICOSC.2013.6750875","DOIUrl":null,"url":null,"abstract":"This paper deals with the application of an adaptive Implicitly Restarted Arnoldi Algorithm based on Krylov subspaces to the small signal stability eigen analysis problem for power systems.. The aim of our modified algorithm is to find directly to the sought critical eigenvalues concerned with poor damping ratios instead of calculating the whole of the spectrum.","PeriodicalId":199135,"journal":{"name":"3rd International Conference on Systems and Control","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Critical eigenvalues tracing for small signal stability analysis using Krylov subspaces\",\"authors\":\"Y. Chabane, A. Hellal\",\"doi\":\"10.1109/ICOSC.2013.6750875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the application of an adaptive Implicitly Restarted Arnoldi Algorithm based on Krylov subspaces to the small signal stability eigen analysis problem for power systems.. The aim of our modified algorithm is to find directly to the sought critical eigenvalues concerned with poor damping ratios instead of calculating the whole of the spectrum.\",\"PeriodicalId\":199135,\"journal\":{\"name\":\"3rd International Conference on Systems and Control\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"3rd International Conference on Systems and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSC.2013.6750875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd International Conference on Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSC.2013.6750875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Critical eigenvalues tracing for small signal stability analysis using Krylov subspaces
This paper deals with the application of an adaptive Implicitly Restarted Arnoldi Algorithm based on Krylov subspaces to the small signal stability eigen analysis problem for power systems.. The aim of our modified algorithm is to find directly to the sought critical eigenvalues concerned with poor damping ratios instead of calculating the whole of the spectrum.
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