ajas3102049-2053 - American Journal of Applied Sciences 3...

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American Journal of Applied Sciences 3 (10): 2049-2053, 2006 ISSN 1546-9239 © 2006 Science Publications Corresponding Author: C. Sharmeela, A.C. College of Technology, Anna University, DEEE, College of Engineering, Anna University, Chennai-600 025, India 2049 A Novel Detection and Classification Algorithm for Power Quality Disturbances using Wavelets 1 C. Sharmeela, 2 M.R. Mohan, 2 G.Uma and 2 J.Baskaran 1 A.C. College of Technology, Anna University 2 DEEE, College of Engineering, Anna University, Chennai-600 025, India 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. Key words: Wavelet transforms, power quality disturbances, transients, voltage sag, voltage swell INTRODUCTION Electric power quality is an important issue in power systems nowadays .The demand for clean power has been increasing in the past several years. The reason is mainly due to the increased use of microelectronic processors in various types of equipments such as computer terminals, programmable logic controllers and diagnostic systems. Most of these systems are quite susceptible to disturbances in the supply voltage. For example a momentary power interruption or thirty percent voltage sag lasting for hundredth of a second can reset the PLCs in an assembly line. The amount of waveform distortion has been found to be more significant nowadays due to the wide applications of nonlinear electronic devices in power apparatus and systems. Without determining the existing levels of power quality, electric utilities cannot adopt suitable strategies to provide a better service. Therefore an efficient approach of justifying these electric power quality disturbances is motivated. Several research studies regarding the power quality have been conducted. Their aims were often concentrated on the collection of raw data for a further analysis, so that the impacts of various disturbances can be investigated. Sources of such disturbances can be located or further mitigated. However, the amount of acquisition data was often massive in their test cases. Such an abundance of data may be time consuming for the inspection of possible culprits. A more efficient approach is thus required in the power quality assessment. The
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ajas3102049-2053 - American Journal of Applied Sciences 3...

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