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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Luisa Alfieri & Antonio Bracale & Guido Carpinelli & Anders Larsson, 2017. "A Wavelet-Modified ESPRIT Hybrid Method for Assessment of Spectral Components from 0 to 150 kHz," Energies, MDPI, vol. 10(1), pages 1-19, January.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:97-:d:87845
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    Citations

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    Cited by:

    1. Kaite Li & Wei Zhao & Shisong Li & Songling Huang, 2023. "Performance Analysis of Matrix Pencil Method Applied to High-Resolution Measurement of Supraharmonics," Energies, MDPI, vol. 16(17), pages 1-18, August.
    2. Julio Barros, 2022. "New Power Quality Measurement Techniques and Indices in DC and AC Networks," Energies, MDPI, vol. 15(23), pages 1-3, December.
    3. Luisa Alfieri & Antonio Bracale & Anders Larsson, 2017. "New Power Quality Indices for the Assessment of Waveform Distortions from 0 to 150 kHz in Power Systems with Renewable Generation and Modern Non-Linear Loads," Energies, MDPI, vol. 10(10), pages 1-40, October.

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