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Classification and identification of power quality events using ANOVA and wavelet transform

Razali, Maimunah (2011) Classification and identification of power quality events using ANOVA and wavelet transform. Masters thesis, Universiti Tun Hussein Onn Malaysia.


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With increasing sensitivity of electronic equipment and automated controls in modern power systems, the power quality monitoring become growing concerns for many industrial facilities and a common practice for utilities. Studies of power quality phenomena have emerged as an important subject in recent years due to renewed interest in improving the quality of the electric supply. Power quality issue has attained considerable attention in last decade due to the increased use of power electronics in residential, commercial and industrial. The most frequently power quality events occur are voltage sag, voltage swell and harmonics distortion. All of the power quality events may interrupt working processes or even cause electronic devices to malfunction. Therefore, it is very important to detect and classified the power quality event occur. This study presents methods to detect and classify power quality events using Analysis of Variance (ANOVA) and Wavelet Transform. This method is tested for a large class of test conditions simulated in MATLAB and focused on the three major of power quality problems which are voltage sag, voltage swell and harmonics distortion in 22 kV distribution network. For the result of this study, the two methods used are able to classify and identify the power quality events. The ANOVA method can detect the range and type of power quality events occur and the wavelet transform can identify the location and time for every problem occur in this distribution network.

Item Type: Thesis (Masters)
Uncontrolled Keywords: power quality; ANOVA
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Depositing User: Normajihan Abd. Rahman
Date Deposited: 22 Sep 2011 06:39
Last Modified: 22 Sep 2011 06:39
URI: http://eprints.uthm.edu.my/id/eprint/1735
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