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

Luisa Alfieri, Antonio Bracale, Guido Carpinelli and Anders Larsson
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Luisa Alfieri: Department of Engineering, University of Naples Parthenope, Centro Direzionale of Naples, Is C4, 80133 Naples, Italy
Antonio Bracale: Department of Engineering, University of Naples Parthenope, Centro Direzionale of Naples, Is C4, 80133 Naples, Italy
Guido Carpinelli: Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio, 21, 80138 Naples, Italy
Anders Larsson: Department of Engineering Sciences and Mathematics, Luleå University of Technology, 97187 Luleå, Sweden

Energies, 2017, vol. 10, issue 1, 1-19

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.

Keywords: waveform distortion; high-frequency spectral components; wavelet transform; modified estimation of signal parameters by rotational invariancetechnique (ESPRIT); power quality (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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