LAPSE:2023.32860
Published Article
LAPSE:2023.32860
Black-Box Modelling of Low-Switching-Frequency Power Inverters for EMC Analyses in Renewable Power Systems
Lu Wan, Abduselam Hamid Beshir, Xinglong Wu, Xiaokang Liu, Flavia Grassi, Giordano Spadacini, Sergio Amedeo Pignari, Michele Zanoni, Liliana Tenti, Riccardo Chiumeo
April 20, 2023
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.
Keywords
black-box modelling, conducted emissions, power inverter
Suggested Citation
Wan L, Beshir AH, Wu X, Liu X, Grassi F, Spadacini G, Pignari SA, Zanoni M, Tenti L, Chiumeo R. Black-Box Modelling of Low-Switching-Frequency Power Inverters for EMC Analyses in Renewable Power Systems. (2023). LAPSE:2023.32860
Author Affiliations
Wan L: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy [ORCID]
Beshir AH: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy
Wu X: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy [ORCID]
Liu X: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy [ORCID]
Grassi F: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy [ORCID]
Spadacini G: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy [ORCID]
Pignari SA: Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, Italy
Zanoni M: Ricerca sul Sistema Energetico-RSE S.p.A., 20134 Milan, Italy [ORCID]
Tenti L: Ricerca sul Sistema Energetico-RSE S.p.A., 20134 Milan, Italy
Chiumeo R: Ricerca sul Sistema Energetico-RSE S.p.A., 20134 Milan, Italy
Journal Name
Energies
Volume
14
Issue
12
First Page
3413
Year
2021
Publication Date
2021-06-09
ISSN
1996-1073
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Original Submission
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PII: en14123413, Publication Type: Journal Article
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LAPSE:2023.32860
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https://doi.org/10.3390/en14123413
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