A. Bracale, P. Caramia, and G. Carpinelli
Waveform distortion analysis, power systems, aperiodic waveforms, Prony method, rootMusic method
Representation of signals in time and frequency domain has been of interest in power systems for many years, especially in the case of nonstationary signals. Standard tools of waveform distortion analysis are based on the Fourier transform while only recently the Prony and rootMusic methods were tested for this purpose. However, these methods show a strong sensitivity to the number of spectral components when applied to evaluate waveform distortion indices. This paper investigates this problem in order to evidence their optimal number. Numerical simulations on test waveforms and on DC arc furnace current waveforms allow to point out the most suitable choices.
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