Name
Pticina Elena Vital'evna
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Omsk State Technical University
Web site url
—
—
Articles count: 1
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