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Black-Box Modelling of Low-Switching-Frequency Power Inverters for EMC Analyses in Renewable Power Systems

Author

Listed:
  • Lu Wan

    (Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy)

  • Abduselam Hamid Beshir

    (Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy)

  • Xinglong Wu

    (Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy)

  • Xiaokang Liu

    (Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy)

  • Flavia Grassi

    (Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy)

  • Giordano Spadacini

    (Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy)

  • Sergio Amedeo Pignari

    (Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy)

  • Michele Zanoni

    (Ricerca sul Sistema Energetico-RSE S.p.A., 20134 Milan, Italy)

  • Liliana Tenti

    (Ricerca sul Sistema Energetico-RSE S.p.A., 20134 Milan, Italy)

  • Riccardo Chiumeo

    (Ricerca sul Sistema Energetico-RSE S.p.A., 20134 Milan, Italy)

Abstract

Electromagnetic interference (EMI) from renewable power systems to the grid attracts more attention especially in the low-frequency range, due to the low switching frequency of high-power inverters. It is significantly important to derive EMI models of power inverters as well as to develop strategies to suppress the related conducted emissions. In this work, black-box modelling is applied to a three-phase inverter system, by implementing an alternative procedure to identify the parameters describing the active part of the model. Besides, two limitations of black-box modelling are investigated. The first regards the need for the system to satisfy the linear and time-invariant (LTI) assumption. The influence of this assumption on prediction accuracy is analysed with reference to the zero, positive and negative sequence decomposition. It is showing that predictions for the positive/negative sequence are highly influenced by this assumption, unlike those for the zero sequence. The second limitation is related to the possible variation of the mains impedance which is not satisfactorily stabilized at a low frequency outside the operating frequency range of standard line impedance stabilization networks.

Suggested Citation

  • Lu Wan & Abduselam Hamid Beshir & Xinglong Wu & Xiaokang Liu & Flavia Grassi & Giordano Spadacini & Sergio Amedeo Pignari & Michele Zanoni & Liliana Tenti & Riccardo Chiumeo, 2021. "Black-Box Modelling of Low-Switching-Frequency Power Inverters for EMC Analyses in Renewable Power Systems," Energies, MDPI, vol. 14(12), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3413-:d:571980
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    Cited by:

    1. Abduselam Hamid Beshir & Simone Negri & Xinglong Wu & Xiaokang Liu & Lu Wan & Giordano Spadacini & Sergio Amedeo Pignari & Flavia Grassi, 2023. "Behavioral Model of G3-Powerline Communication Modems for EMI Analysis," Energies, MDPI, vol. 16(8), pages 1-15, April.

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