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Dynamic modeling of doubly fed induction generator wind turbines

Ekanayake, J.B., Holdsworth, L., XueGuang Wu, Jenkins, N.·2003·IEEE Transactions on Power Systems

Abstract

It is now recognized that many large wind farms will employ doubly fed induction generator (DFIG) variable speed wind turbines. A number of such wind farms are already in operation and more are planned or under construction. With the rising penetration of wind power into electricity networks, increasingly comprehensive studies are required to identify the interaction between the wind farm(s) and the power system. These require accurate models of doubly fed induction generator wind turbines and their associated control and protection circuits. A dynamic model has been derived, which can be used to simulate the DFIG wind turbine using a single-cage and double-cage representation of the generator rotor, as well as a representation of its control and protection circuits. The model is suitable for use in transient stability programs that can be used to investigate large power systems. The behavior of a wind farm and the network under various system disturbances was studied using this dynamic model. The influence of the DFIG control on the stability of the wind farm was also investigated by considering different control gains and by applying network voltage control through both stator side and rotor side converters.

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Authors
Ekanayake, J. B., Holdsworth, L., Wu, X., & Jenkins, N.
Venue
IEEE Transactions on Power Systems
Published
2003-05
Volume
18
Issue
2
Pages
803-809
ISSN
0885-8950 (ISSN-L)
OpenAlex
W2116060997
Cited by
733
References
0
FWCI
28.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic modeling of doubly fed induction generator wind turbines. https://app.cochat.ai/papers/10.1109/tpwrs.2003.811178
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Ekanayake, J. B., Holdsworth, L., Wu, X., & Jenkins, N. (2003). Dynamic modeling of doubly fed induction generator wind turbines. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2003.811178

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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.