Ringdown Electromechanical Oscillations Analysis Through the Interpolated DFT Algorithm

This paper proposes the analysis of the ringdown electromechanical oscillations occurring in power systems through the two-point Interpolated Discrete Fourier Transform (IpDFT) algorithm for damped sinusoids. In particular, the frequency and the damping ratio of the modes of interest are estimated. The accuracy of the proposed algorithm is compared with that of a rather standard technique, i.e. the Prony algorithm, in order to evaluate the main advantages and disadvantages of either approach under different operating conditions. The results of several simulations show that the IpDFT algorithm is preferable when the signal-to-noise ratio is low or moderate, whereas the Prony algorithm is more robust to spectral interference when the oscillating modes are closely spaced in frequency.

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Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/amps62611.2024.10706668
Citations
2
Primary Topic
Vibration and Dynamic Analysis
Type
article
Field-Weighted Citation Impact
0.66
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Ringdown Electromechanical Oscillations Analysis Through the Interpolated DFT Algorithm

Daniel Belega, David Macii, Dario Petri
2 citations
Vibration and Dynamic Analysis
0.66
article

Ringdown Electromechanical Oscillations Analysis Through the Interpolated DFT Algorithm

Daniel Belega, David Macii, Dario Petri
article en
2 citations

Abstract

This paper proposes the analysis of the ringdown electromechanical oscillations occurring in power systems through the two-point Interpolated Discrete Fourier Transform (IpDFT) algorithm for damped sinusoids. In particular, the frequency and the damping ratio of the modes of interest are estimated. The accuracy of the proposed algorithm is compared with that of a rather standard technique, i.e. the Prony algorithm, in order to evaluate the main advantages and disadvantages of either approach under different operating conditions. The results of several simulations show that the IpDFT algorithm is preferable when the signal-to-noise ratio is low or moderate, whereas the Prony algorithm is more robust to spectral interference when the oscillating modes are closely spaced in frequency.

University of Trento (IT), Polytechnic University of Timişoara (RO)
Openalex Percentile: Top 30%
Vibration and Dynamic Analysis
0.66
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