Research Article Open Access

A Novel Detection and Classification Algorithm for Power Quality Disturbances using Wavelets

C. Sharmeela, M. R. Mohan, G. Uma and J. Baskaran

Abstract

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.

American Journal of Applied Sciences
Volume 3 No. 10, 2006, 2049-2053

DOI: https://doi.org/10.3844/ajassp.2006.2049.2053

Submitted On: 26 August 2006 Published On: 31 October 2006

How to Cite: Sharmeela, C., Mohan, M. R., Uma, G. & Baskaran, J. (2006). A Novel Detection and Classification Algorithm for Power Quality Disturbances using Wavelets . American Journal of Applied Sciences, 3(10), 2049-2053. https://doi.org/10.3844/ajassp.2006.2049.2053

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Keywords

  • Wavelet transforms
  • power quality disturbances
  • transients
  • voltage sag
  • voltage swell