Characterization of distribution power quality events with Fourier and wavelet transforms

It is the objective of this paper to present unique features that character ize power quality events and methodologies to extract them from recorded vo ltage and/or current waveforms using Fourier and wavelet transforms. Exampl es of unique Features include peak amplitudes, RMS, frequency, and statisti cs of wavelet transform coefficients, These features are derived from well documented theories, power engineers' heuristics gained through long years of experience, and power quality data collected in recent years. Converter operation, transformer energization, and capacitor energization (which incl udes normal, back-to-back, and restrike on opening energization), represent ing three common power quality events at the distribution level, are presen ted. These examples provide the basis for further characterization of other power quality events.