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Cited by 1,337

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Medium-Voltage Multilevel Converters—State of the Art, Challenges, and Requirements in Industrial Applications

Abu-Rub, H, Holtz, J, Rodriguez, J, Ge Baoming·2010·IEEE Transactions on Industrial Electronics

Abstract

This paper gives an overview of medium-voltage (MV) multilevel converters with a focus on achieving minimum harmonic distortion and high efficiency at low switching frequency operation. Increasing the power rating by minimizing switching frequency while still maintaining reasonable power quality is an important requirement and a persistent challenge for the industry. Existing solutions are discussed and analyzed based on their topologies, limitations, and control techniques. As a preferred option for future research and application, an inverter configuration based on three-level building blocks to generate five-level voltage waveforms is suggested. This paper shows that such an inverter may be operated at a very low switching frequency to achieve minimum on-state and dynamic device losses for highly efficient MV drive applications while maintaining low harmonic distortion.

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Metadata

Authors
Abu-Rub, H., Holtz, J., Rodriguez, J., & Baoming, G.
Venue
IEEE Transactions on Industrial Electronics
Published
2010-08
Volume
57
Issue
8
Pages
2581-2596
ISSN
0278-0046 (ISSN-L)
OpenAlex
W2153950497
Cited by
1,337
References
2
FWCI
41.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Medium-Voltage Multilevel Converters—State of the Art, Challenges, and Requirements in Industrial Applications. https://app.cochat.ai/papers/10.1109/tie.2010.2043039
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Abu-Rub, H., Holtz, J., Rodriguez, J., & Baoming, G. (2010). Medium-Voltage Multilevel Converters—State of the Art, Challenges, and Requirements in Industrial Applications. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2010.2043039

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.