A Novel Detection and Classification Algorithm for Power Quality Disturbances using Wavelets
C. Sharmeela, M. R. Mohan, G. Uma and J. Baskaran
DOI : 10.3844/ajassp.2006.2049.2053
American Journal of Applied Sciences
Volume 3, Issue 10
This study presents a novel method to detect and classify power quality disturbances using wavelets. The proposed algorithm uses different wavelets each for a particular class of disturbance. The method uses wavelet filter banks in an effective way and does multiple filtering to detect the disturbances. A qualitative comparison of results shows the advantages and drawbacks of each wavelet when applied to the detection of the disturbances. This method is tested for a large class of test conditions simulated in MATLAB. Power quality monitoring together with the ability of the proposed algorithm to classify the disturbances will be a powerful tool for the power system engineers.
© 2006 C. Sharmeela, M. R. Mohan, G. Uma and J. Baskaran. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.