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Cited by 918

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Power Electronics Converters for Wind Turbine Systems

Open access
Blaabjerg, Frede, Liserre, Marco, Ma, Ke·2012·IEEE Transactions on Industry Applications

Abstract

The steady growth of installed wind power together with the upscaling of the single wind turbine power capability has pushed the research and development of power converters toward full-scale power conversion, lowered cost pr kW, increased power density, and also the need for higher reliability. In this paper, power converter technologies are reviewed with focus on existing ones and on those that have potential for higher power but which have not been yet adopted due to the important risk associated with the high-power industry. The power converters are classified into single- and multicell topologies, in the latter case with attention to series connection and parallel connection either electrical or magnetic ones (multiphase/windings machines/transformers). It is concluded that as the power level increases in wind turbines, medium-voltage power converters will be a dominant power converter configuration, but continuously cost and reliability are important issues to be addressed.

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Crossref · 10.1109/tia.2011.2181290

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Metadata

Authors
Blaabjerg, F., Liserre, M., & Ma, K.
Venue
IEEE Transactions on Industry Applications
Published
2012-03
Volume
48
Issue
2
Pages
708-719
ISSN
  • 0093-9994 (ISSN-L)
  • 1939-9367
OpenAlex
W1974259851
Cited by
918
References
1
FWCI
41.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Power Electronics Converters for Wind Turbine Systems. https://app.cochat.ai/papers/10.1109/tia.2011.2181290
The paper
Blaabjerg, F., Liserre, M., & Ma, K. (2012). Power Electronics Converters for Wind Turbine Systems. IEEE Transactions on Industry Applications. https://doi.org/10.1109/tia.2011.2181290

Data sources

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.