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Fault analysis in wind power using discrete wavelet transform
Author(s)
Yodkhuang, Apichart
Date Issued
June 12, 2012
Type
Conference Paper
Abstract
This paper proposes an application of the discrete wavelet transforms (DWT) in signal analysis of wind power faults. The results obtained from the analysis are used to detect, identify, and locate faults. The fault signals are simulated using PSCAD/EMTDC. The DWT is employed in extracting the high frequency component contained in the fault currents, and the coefficients of the first scale from the DWT that can detect fault are investigated. The results are shown that the DWT is capable of performing the fault location as well as the fault types with satisfactory accuracy.
Citation
Proceedings of the IASTED Asian Conference on Power and Energy Systems Asiapes 2012, 199-205, 2012
Subjects