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Modeling, Control, and Experimental Verification of a 500 kW DFIG Wind TurbineAYKUT, O., ULU, C. , KOMURGOZ, G. |
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Author keywords
doubly fed induction generator, modeling control, renewable energy source, wind energy
References keywords
wind(36), power(21), control(21), energy(19), induction(14), doubly(14), generator(12), system(11), turbines(10), turbine(8)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2022-02-28
Volume 22, Issue 1, Year 2022, On page(s): 13 - 20
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.01002
Web of Science Accession Number: 000762769600003
SCOPUS ID: 85126826344
Abstract
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 500kW 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-to-back 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 500kW DFIG wind turbine prototype are used. These test results include both subsynchronous and super-synchronous operation conditions. The test results are compared to simulation results obtained by using the derived turbine model. The accuracy of the model is validated by the comparison results. |
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[1] Analysis of Doubly Fed Induction Generator-based wind turbine system for fault ride through capability investigations, Tuka, Milkias Berhanu, Endale, Salem Molla, Wind Engineering, ISSN 0309-524X, Issue 6, Volume 47, 2023.
Digital Object Identifier: 10.1177/0309524X231186762 [CrossRef]
[2] Application of Backstepping Control With Nonsingular Terminal Sliding Mode Surface Technique to Improve the Robustness of Stator Power Control of Asynchronous Generator-Based Multi-Rotor Wind Turbine System, Yahdou, Adil, Benbouhenni, Habib, Colak, Ilhami, Bizon, Nicu, Electric Power Components and Systems, ISSN 1532-5008, 2024.
Digital Object Identifier: 10.1080/15325008.2024.2304688 [CrossRef]
[3] Fractional-order neural control of a DFIG supplied by a two-level PWM inverter for dual-rotor wind turbine system, Benbouhenni, Habib, Colak, Ilhami, Bizon, Nicu, Abdelkarim, Emad, Measurement and Control, ISSN 0020-2940, Issue 3, Volume 57, 2024.
Digital Object Identifier: 10.1177/00202940231201375 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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