LAPSE:2023.34622v1
Published Article
LAPSE:2023.34622v1
Analysis of High-Frequency Common Mode Component Characteristics of Common Mode Peak Voltage Suppression Method for Indirect Matrix Converter
Haiming Liu, Linfeng Huang, Cheng Lin, Yifu Ding, Yun Wang, Shanhu Li
April 27, 2023
Abstract
A variety of modulation strategies for suppressing output common-mode voltage (CMV) of indirect matrix converters (IMC) have been proposed, but most of them mainly reduce the peak of CMV by 42.3%. The frequency-domain characteristics of CMV have not been deeply analyzed. In order to improve the theory of frequency-domain characteristics of output common-mode voltage of IMC, this paper proposed a common-mode frequency domain analysis of five common-mode voltage peak suppression modulation methods for IMC. The common-mode voltage spectrum corresponding to the five modulation methods is obtained by the triple Fourier series, and the variation laws of the output common-mode components of the five modulation methods under different modulation indexes are compared and analyzed. By comparing and analyzing the low-frequency amplitude characteristics and high-frequency amplitude characteristics of five modulation methods, the suppression performance of the five modulation methods is evaluated. Finally, experiments verify the correctness of the theoretical analysis of the frequency domain characteristics of the output common-mode voltage of the indirect matrix converter.
Keywords
common-mode components, indirect matrix converter (IMC), spectrum analysis, triple Fourier series, voltage transfer ratio (VTR)
Suggested Citation
Liu H, Huang L, Lin C, Ding Y, Wang Y, Li S. Analysis of High-Frequency Common Mode Component Characteristics of Common Mode Peak Voltage Suppression Method for Indirect Matrix Converter. (2023). LAPSE:2023.34622v1
Author Affiliations
Liu H: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China; China Automotive Technology and Research Center Co., Ltd., Tianjin 300300, China
Huang L: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China; CRRC Zhuzhou Electric Locomotive Research Institute, Zhuzhou 412001, China [ORCID]
Lin C: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China [ORCID]
Ding Y: China Automotive Technology and Research Center Co., Ltd., Tianjin 300300, China
Wang Y: China Automotive Technology and Research Center Co., Ltd., Tianjin 300300, China
Li S: State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
Journal Name
Energies
Volume
15
Issue
11
First Page
3991
Year
2022
Publication Date
2022-05-28
ISSN
1996-1073
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Original Submission
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PII: en15113991, Publication Type: Journal Article
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LAPSE:2023.34622v1
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https://doi.org/10.3390/en15113991
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