TY - JOUR AU - Sharmeela, C. AU - Mohan, M. R. AU - Uma, G. AU - Baskaran, J. PY - 2006 TI - A Novel Detection and Classification Algorithm for Power Quality Disturbances using Wavelets JF - American Journal of Applied Sciences VL - 3 IS - 10 DO - 10.3844/ajassp.2006.2049.2053 UR - https://thescipub.com/abstract/ajassp.2006.2049.2053 AB - 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.