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Fourier, Wavelet, and Hilbert-Huang Transforms for Studying Electrical Users in the Time and Frequency Domain

Author

Listed:
  • Vito Puliafito

    (Department of Engineering, University of Messina, I-98166 Messina, Italy)

  • Silvano Vergura

    (Department of Electrical and Information Engineering, Polytechnic University of Bari, via E. Orabona 4, I-70125 Bari, Italy
    These authors contributed equally to this work.)

  • Mario Carpentieri

    (Department of Electrical and Information Engineering, Polytechnic University of Bari, via E. Orabona 4, I-70125 Bari, Italy
    These authors contributed equally to this work.)

Abstract

The analysis of electrical signals is a pressing requirement for the optimal design of power distribution. In this context, this paper illustrates how to use a variety of numerical tools, such as the Fourier, wavelet, and Hilbert-Huang transforms, to obtain information relating to the active and reactive power absorbed by different types of users. In particular, the Fourier spectrum gives the most important frequency components of the electrical signals, and the wavelet analysis highlights the non-stationarity of those frequency contributions, whereas the Hilbert-Huang transform, by means of the Empirical Mode Decomposition, provides a more complete spectrum of frequencies.

Suggested Citation

  • Vito Puliafito & Silvano Vergura & Mario Carpentieri, 2017. "Fourier, Wavelet, and Hilbert-Huang Transforms for Studying Electrical Users in the Time and Frequency Domain," Energies, MDPI, vol. 10(2), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:188-:d:89743
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    References listed on IDEAS

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    1. Silvano Vergura & Roberto Zivieri & Mario Carpentieri, 2016. "Indices to Study the Electrical Power Signals in Active and Passive Distribution Lines: A Combined Analysis with Empirical Mode Decomposition," Energies, MDPI, vol. 9(3), pages 1-18, March.
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