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Cited by 200

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Efficiency Impact of Silicon Carbide Power Electronics for Modern Wind Turbine Full Scale Frequency Converter

Zhang, Hui, Tolbert, Leon M.·2011·IEEE Transactions on Industrial Electronics

Abstract

Power electronics is an enabling technology found in most renewable energy generation systems. Because of its superior voltage blocking capabilities and fast switching speeds, silicon carbide (SiC) power electronics are considered for use in power conversion units in wind generation systems in this paper. The potential efficiency gains from the use of SiC devices in a wind generation system are explored by simulations, with the system modeling explained in detail. The performance of the SiC converter is analyzed and compared to its silicon counterpart at different wind speeds, temperatures, and switching frequencies. The quantitative results are based on SiC metal-oxide-semiconductor field-effect transistor (MOSFET) prototypes from Cree and modern Si insulated-gate bipolar transistor (IGBT) products. A conclusion is drawn that the SiC converters can improve the wind system power conversion efficiency and can reduce the system's size and cost due to the low-loss, high-frequency, and high-temperature properties of SiC devices, even for one-for-one replacement for Si devices.

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Metadata

Authors
Zhang, H., & Tolbert, L. M.
Venue
IEEE Transactions on Industrial Electronics
Published
2011-01
Volume
58
Issue
1
Pages
21-28
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2072825451
Cited by
200
References
0
FWCI
9.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Efficiency Impact of Silicon Carbide Power Electronics for Modern Wind Turbine Full Scale Frequency Converter. https://app.cochat.ai/papers/10.1109/tie.2010.2048292
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Zhang, H., & Tolbert, L. M. (2011). Efficiency Impact of Silicon Carbide Power Electronics for Modern Wind Turbine Full Scale Frequency Converter. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2010.2048292

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.