Time-Frequency Analysis Technique For Power Quality Signals

Norhashimah, Mohd Saad and Abdul Rahim, Abdullah (2008) Time-Frequency Analysis Technique For Power Quality Signals. Project Report. UTeM, Melaka Malaysia. (Submitted)

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Abstract

This research presents the detection and classifications of power quality disturbances using time-frequenc) 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 qua lity events that are analyzed are swell, sag, interruption, harmonic interharmonic transient nothing 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 50d8 to verify its performance. The results sho' that the system gives 100 percent accuracy of power quality signals ls at 30dB of S R.

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