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Experimental Lognormal Modeling of Harmonics Power of Switched-Mode Power Supplies

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  • Dima Bykhovsky

    (Electrical and Electronics Engineering, Shamoon College of Engineering, Beer-Sheva 8410802, Israel)

Abstract

Switched-mode power supplies (SMPSs) are an important component in many electrical systems. As a highly non-linear device, an unavoidable side-effect of SMPS operation is its high harmonics power. One of the ways to model the harmonic power consumption profile is in terms of a random process. This paper addresses random process modeling with a corresponding probability density function (PDF), auto-covariance function (ACF) and spectral coherence. The consumed harmonics power was evaluated under different load conditions and is based on experimental results of current consumption from SMPSs. The analysis shows that harmonics power may be modeled by a lognormal distribution that is time-domain uncorrelated, and that has spectral-domain correlation modeled by a Gaussian radial basis function. Extensive discussion on the modeling results is also provided. Moreover, random simulation approach based on the modeling results was proposed.

Suggested Citation

  • Dima Bykhovsky, 2022. "Experimental Lognormal Modeling of Harmonics Power of Switched-Mode Power Supplies," Energies, MDPI, vol. 15(2), pages 1-12, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:653-:d:726761
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    References listed on IDEAS

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    1. Adán Alberto Jumilla-Corral & Carlos Perez-Tello & Héctor Enrique Campbell-Ramírez & Zulma Yadira Medrano-Hurtado & Pedro Mayorga-Ortiz & Roberto L. Avitia, 2021. "Modeling of Harmonic Current in Electrical Grids with Photovoltaic Power Integration Using a Nonlinear Autoregressive with External Input Neural Networks," Energies, MDPI, vol. 14(13), pages 1-19, July.
    2. Kalair, A. & Abas, N. & Kalair, A.R. & Saleem, Z. & Khan, N., 2017. "Review of harmonic analysis, modeling and mitigation techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1152-1187.
    3. Marco Faifer & Christian Laurano & Roberto Ottoboni & Sergio Toscani & Michele Zanoni, 2020. "Frequency-Domain Nonlinear Modeling Approaches for Power Systems Components—A Comparison," Energies, MDPI, vol. 13(10), pages 1-14, May.
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