Scientific Journal of KubSAU

This article presents an algorithm based on the discrete wavelet transform for the analysis of current root mean square (RMS) value and total harmonic distortion (THD) in power systems. Power quality indices play an important role in case of non-stationary distorted waveforms, where neither a frequency-domain-based approach using fast Fourier transform tools nor a timedomain-based approach using real time data give satisfactory results. The algorithm proposed decomposes the current waveforms into uniform frequency bands corresponding to the odd harmonic components of the signal. The proposed algorithm overcomes the spectra leakage problem. Computer simulations verified the effectiveness of the proposed algorithm