Supraharmonic Dynamic Phasors: Estimation of Time-Varying Emissions

Abstract

In this article, we present a new method for the identification and estimation of supraharmonic components, and we validate its performance in plausible operating conditions, as inspired by real-world acquisitions. The method consists of three consecutive stages: a high-pass filter to remove the fundamental component, a support recovery routine based on the compressive sensing theory, and a Taylor-Fourier multifrequency model for the estimation of the dynamic phasor associated with each supraharmonic component. The method performance is thoroughly validated through extensive numerical simulations. In the presence of stationary emissions, we characterize the minimum resolution in terms of component frequency and amplitude. On the other hand, an experimental test bench enables us to evaluate the method's robustness in the presence of pulsating and distorted emissions. The proposed results confirm the potential of the proposed method and highlight the space for future enhancement.

Supraharmonics Measurement Based on Colored Noise Suppressed Matrix Pencil Method

“…However, the large number of measurement vectors increases the computational complexity and does not consider the possible discontinuities in the supraharmonics emissions. In [16], this problem was noticed and the Taylor-Fourier Multifrequency Model of the Dynamic Phasor was used to estimate the dynamic phase volume associated with each supraharmonics component. The performance of the method is verified by numerical simulations.…”