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General model for representing variable speed wind turbines in power system dynamics simulations

Open access
Slootweg, J.G., de Haan, S.W.H., Polinder, H., Kling, W.L.·2003·IEEE Transactions on Power Systems

Abstract

A tendency to erect ever more wind turbines can be observed in order to reduce the environmental consequences of electric power generation. As a result of this, in the near future, wind turbines may start to influence the behavior of electric power systems by interacting with conventional generation and loads. Therefore, wind turbine models that can be integrated into power system simulation software are needed. In this contribution, a model that can be used to represent all types of variable speed wind turbines in power system dynamics simulations is presented. First, the modeling approach is commented upon and models of the subsystems of which a variable speed wind turbine consists are discussed. Then, some results obtained after incorporation of the model in PSS/E, a widely used power system dynamics simulation software package, are presented and compared with measurements.

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Crossref · 10.1109/tpwrs.2002.807113

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Metadata

Authors
Slootweg, J. G., de Haan, S. W. H., Polinder, H., & Kling, W. L.
Venue
IEEE Transactions on Power Systems
Published
2003-02
Volume
18
Issue
1
Pages
144-151
ISSN
0885-8950 (ISSN-L)
OpenAlex
W2120098964
Cited by
963
References
8
FWCI
14.41
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: General model for representing variable speed wind turbines in power system dynamics simulations. https://app.cochat.ai/papers/10.1109/tpwrs.2002.807113
The paper
Slootweg, J. G., de Haan, S. W. H., Polinder, H., & Kling, W. L. (2003). General model for representing variable speed wind turbines in power system dynamics simulations. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2002.807113

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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.