Modeling, Control, and Experimental Verification of a 500 kW DFIG Wind Turbine

Ozan Aykut, Cenk Ulu*, Guven Komurgoz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


In wind turbine applications, an accurate turbine model and effective control algorithms are needed to ensure power flow in accordance with grid standards and design criteria. However, in many studies, only model simulation results are given or the derived models are validated by using only small-scale prototypes. This article presents the modeling, control, and experimental verification of a 500 kW doubly fed induction generator (DFIG) wind turbine. The entire model is considered to be a collection of subsystems that are individually modeled and then put together to obtain the whole wind turbine model. The model includes a DFIG, a back-toback converter, and a control system. In the control system, control of the back-to-back converter, the blade angle control and the maximum power point tracking control are performed to provide effective energy conversion performances for different operation conditions. To validate the derived DFIG turbine model, the results of three experimental tests obtained from a 500 kW DFIG wind turbine prototype are used. These test results include both subsynchronous and supersynchronous operation conditions. The test results are compared to simulation results obtained by using the derived turbine model.

Original languageEnglish
Pages (from-to)13-20
Number of pages8
JournalAdvances in Electrical and Computer Engineering
Issue number1
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 AECE


1The authors would like to thank the support provided by TUBITAK (Scientific and Technological Research Council of Turkey) under grant TARAL-110G119 and Metro Istanbul A.S. for providing test and parameter data.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştirma KurumuTARAL-110G119


    • Doubly fed induction generator
    • Modeling control
    • Renewable energy source
    • Wind energy


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