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Cited by 462

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Dynamic Contribution of DFIG-Based Wind Plants to System Frequency Disturbances

Kayikci, M., Milanovic, J.V.·2009·IEEE Transactions on Power Systems

Abstract

The paper investigates contribution of doubly fed induction generator (DFIG) to system frequency responses. Impact of different governor settings and system inertia are investigated. Three distinct cases are simulated in order to illustrate the influence of DFIG penetration on frequency regulation. Provision of inertial response by DFIG through artificial speed coupling is also presented. The effects of the inertial response on the machine behavior and its significance for frequency regulation are discussed. The influence of converter current limits and auxiliary loop parameters on the inertial response are illustrated and a novel control algorithm is developed for extracting maximum energy from the turbine in a stable manner. The results of the study are illustrated on the example of an isolated power system consisting of a diesel generator and a DFIG.

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Metadata

Authors
Kayikci, M., & Milanovic, J. V.
Venue
IEEE Transactions on Power Systems
Published
2009-05
Volume
24
Issue
2
Pages
859-867
ISSN
  • 0885-8950 (ISSN-L)
  • 1558-0679
OpenAlex
W2129326263
Cited by
462
References
10
FWCI
12.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dynamic Contribution of DFIG-Based Wind Plants to System Frequency Disturbances. https://app.cochat.ai/papers/10.1109/tpwrs.2009.2016062
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Kayikci, M., & Milanovic, J. V. (2009). Dynamic Contribution of DFIG-Based Wind Plants to System Frequency Disturbances. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2009.2016062

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.