P. Ray, Harish C. Dubey, S. Mohanty, N. Kishor, K. Ganesh
{"title":"Power quality disturbance detection in grid-connected wind energy system using wavelet and S-transform","authors":"P. Ray, Harish C. Dubey, S. Mohanty, N. Kishor, K. Ganesh","doi":"10.1109/ICPCES.2010.5698664","DOIUrl":null,"url":null,"abstract":"S-transform and wavelet transform based approach for detection of different power quality disturbances like voltage sag, voltage swell, momentary interruption, notch and oscillatory transients in grid-connected wind power system is proposed in this paper. The voltage signal at point of common coupling is used in detection of the disturbances. The excellent time-frequency resolution characteristic of S-transform is exploited for detecting various power quality disturbances. The simulated results clearly reflect the advantages of S-transform over wavelet transform in localizing and detecting the power quality events even under noisy conditions.","PeriodicalId":439893,"journal":{"name":"2010 International Conference on Power, Control and Embedded Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Power, Control and Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPCES.2010.5698664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
S-transform and wavelet transform based approach for detection of different power quality disturbances like voltage sag, voltage swell, momentary interruption, notch and oscillatory transients in grid-connected wind power system is proposed in this paper. The voltage signal at point of common coupling is used in detection of the disturbances. The excellent time-frequency resolution characteristic of S-transform is exploited for detecting various power quality disturbances. The simulated results clearly reflect the advantages of S-transform over wavelet transform in localizing and detecting the power quality events even under noisy conditions.