New ESPRIT-based method for an efficient assessment of waveform distortions in power systems

Alfieri, L.; Carpinelli, G.; Bracale, Antonio

doi:10.1016/j.epsr.2015.01.011

Cited by 13 publications

(25 citation statements)

References 26 publications

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“…The second step of the proposed hybrid method is based on the application of the slidingwindow modified ESPRIT method (SW MEM) described in [15]. This method is applied for the assessment of the low-frequency and high-frequency components included in ( ) and ( ),…”

Section: Second Stepmentioning

confidence: 99%

“…It requires a high computational effort and a priori knowledge of the number of spectral components included in the analysed waveform, as well as the order of the correlation matrix. These two problems were overcome by the method proposed in [15], although it was not applied for the detection of high-frequency time varying spectral component, when large-spectrum waveforms are analysed.…”

Section: Introductionmentioning

confidence: 99%

“…Although these parametric methods are characterized by enhanced accuracy and great frequency resolution, their computational burden is excessive. In recent literature, hybrid sliding-window parametric-STFT methods and new modified sliding-window parametric methods have been proposed to reduce the computational effort [14][15][16]18,19]. With reference to the high-frequency range, in the relevant literature, only few methods were applied to the spectral analysis of waveforms with wide spectra [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the previously-cited main aspects of the spectral analysis methods offered by relevant literature, the proposed method applies a discrete wavelet transform (DWT) and a sliding-window modified ESPRIT method (SW MEM) [15] in two successive steps. The DWT divides the original signal into low-frequency and high-frequency waveforms.…”

Section: Introductionmentioning

confidence: 99%

“…In recent literature, hybrid sliding-window parametric-STFT methods and new modified sliding-window parametric methods have been proposed to reduce the computational effort [14][15][16]18,19]. With reference to the high-frequency range, in the relevant literature, only few methods were applied to the spectral analysis of waveforms with wide spectra [15,16]. In particular, the method proposed in [16] was not applied for the simultaneous spectral analysis of the entire range from 0 Hz to 150 kHz.…”

Section: Introductionmentioning

confidence: 99%

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A Wavelet-Modified ESPRIT Hybrid Method for Assessment of Spectral Components from 0 to 150 kHz

et al. 2017

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Abstract:Waveform distortions are an important issue in distribution systems. In particular, the assessment of very wide spectra, that include also components in the 2-150 kHz range, has recently become an issue of great interest. This is due to the increasing presence of high-spectral emission devices like end-user devices and distributed generation systems. This study proposed a new sliding-window wavelet-modified estimation of signal parameters by rotational invariance technique (ESPRIT) method, particularly suitable for the spectral analysis of waveforms that have very wide spectra. The method is very accurate and requires reduced computational effort. It can be applied successfully to detect spectral components in the range of 0-150 kHz introduced both by distributed power plants, such as wind and photovoltaic generation systems, and by end-user equipment connected to grids through static converters, such as fluorescent lamps.

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Section: Second Stepmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Wavelet-Modified ESPRIT Hybrid Method for Assessment of Spectral Components from 0 to 150 kHz

et al. 2017

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DFT-parametric methods for an accurate and fast assessment of waveform distortions caused by adjustable speed drives

Alfieri

Bracale

Carpinelli

2015

Int. Trans. Electr. Energ. Syst.

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Summary The increasing application of adjustable speed drives dictates that the effect of waveform distortions on other equipment in industrial systems must be seriously considered. In this paper, we proposed new, advanced methods for the accurate and fast estimation of waveform distortions caused on the supply‐side currents by an adjustable‐speed drive. The methods consist of a four‐step procedure based on proper combinations of Prony, ESPRIT, and DFT methods as well as analytical formulas. The methods properly combine the accuracy of the parametric methods (ESPRIT or Prony) with the speed of both the DFT method and analytical formulas. Experiments and comparisons were made based on both synthetic and measurement data. The results showed that the proposed methods were effective and efficient. Copyright © 2015 John Wiley & Sons, Ltd.

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ESPRIT associated with filter bank for power-line harmonics, sub-harmonics and inter-harmonics parameters estimation

Santos

Khosravy

Lima

et al. 2020

International Journal of Electrical Power & Energy Systems

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New ESPRIT-based method for an efficient assessment of waveform distortions in power systems

Cited by 13 publications

References 26 publications

A Wavelet-Modified ESPRIT Hybrid Method for Assessment of Spectral Components from 0 to 150 kHz

A Wavelet-Modified ESPRIT Hybrid Method for Assessment of Spectral Components from 0 to 150 kHz

DFT-parametric methods for an accurate and fast assessment of waveform distortions caused by adjustable speed drives

ESPRIT associated with filter bank for power-line harmonics, sub-harmonics and inter-harmonics parameters estimation

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