Abdullah, Abdul Rahim and Sha`ameri, Ahmad Zuri and Mat Sidek, Abd. Rahim and Shaari, Mohammad Razman (2007) Detection and classification of power quality disturbances using time-frequency analysis technique. In: Research and Development, 2007. SCOReD 2007. 5th Student Conference, 11-12 Dec 2007, Selangor, Malaysia.
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Official URL: http://dx.doi.org/10.1109/SCORED.2007.4451404
This paper presents the detection and classifications of power quality disturbances using time-frequency signal analysis. The method used is based on the pattern recognition approach. It consists of parameter estimation followed classification. Based on the spectrogram time-frequency analysis, a set of signal parameters are estimated as input to a classifier network. The power quality events that are analyzed are swell, sag, interruption, harmonic, interharmonic, transient, notching and normal voltage. The parameter estimation is characterized by voltage signal in rms per unit, waveform distortion, harmonic distortion and interharmonic distortion. A rule based system is developed to detect and classify the various types of power quality disturbances. The system has been tested with 100 data for each power quality event at SNR from OdB to 50dB to verify its performance. The results show that the system gives 100 percent accuracy of power quality signals at 30 dB of SNR.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||harmonic distortion, interharmonic distortion, notching, parameter estimation, pattern recognition approach, power quality disturbances, power system transients, rule based system, spectrogram time-frequency analysis, time-frequency signal analysis, voltage interruption, voltage sag, voltage swell, waveform distortion|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Norhafizah Hussin|
|Deposited On:||06 Jan 2009 01:36|
|Last Modified:||17 Feb 2012 05:30|
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