<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/4101" mdate="2009-01-20 00:00:00"> <author>Sudipta Nath and Arindam Dey and Abhijit Chakrabarti</author> <title>Detection of Power Quality Disturbances using Wavelet Transform</title> <pages>78 - 82</pages> <year>2009</year> <volume>3</volume> <number>1</number> <journal>International Journal of Electrical and Computer Engineering</journal> <ee>https://publications.waset.org/pdf/4101</ee> <url>https://publications.waset.org/vol/25</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>This paper presents features that characterize power quality disturbances from recorded voltage waveforms using wavelet transform. The discrete wavelet transform has been used to detect and analyze power quality disturbances. The disturbances of interest include sag, swell, outage and transient. A power system network has been simulated by Electromagnetic Transients Program. Voltage waveforms at strategic points have been obtained for analysis, which includes different power quality disturbances. Then wavelet has been chosen to perform feature extraction. The outputs of the feature extraction are the wavelet coefficients representing the power quality disturbance signal. Wavelet coefficients at different levels reveal the time localizing information about the variation of the signal.</abstract> <index>Open Science Index 25, 2009</index> </article>