{"title":"Continuous wavelet transform based analysis of low frequency oscillation in power system","authors":"M. J. Rana, M. Alam, M. Islam","doi":"10.1109/ICAEE.2015.7506859","DOIUrl":null,"url":null,"abstract":"Low frequency oscillation is a threat to the stability of interconnected power system. Proper identification of the low frequency oscillation is crucial. In this work continuous wavelet transform (CWT) with complex morlet wavelet is used to extract modal information of the power system oscillations. The modal information of the measured signal such as frequency and damping is determined from the magnitude and phase plot of the complex valued wavelet coefficients. The proposed technique is applied to the measured signal of a two area power system to detect inter area mode of oscillation and results are compared with Eigenvalue analysis method.","PeriodicalId":123939,"journal":{"name":"2015 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Advances in Electrical Engineering (ICAEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAEE.2015.7506859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Low frequency oscillation is a threat to the stability of interconnected power system. Proper identification of the low frequency oscillation is crucial. In this work continuous wavelet transform (CWT) with complex morlet wavelet is used to extract modal information of the power system oscillations. The modal information of the measured signal such as frequency and damping is determined from the magnitude and phase plot of the complex valued wavelet coefficients. The proposed technique is applied to the measured signal of a two area power system to detect inter area mode of oscillation and results are compared with Eigenvalue analysis method.