Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications

Mohamed Abdelrahem, Christoph Hackl, Ralph Kennel and Jose Rodriguez
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Mohamed Abdelrahem: Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71516, Egypt
Christoph Hackl: Department of Electrical Engineering and Information Technology, Munich University of Applied Sciences, 80335 München, Germany
Ralph Kennel: Institute for Electrical Drive Systems and Power Electronics (EAL), Technische Universität München (TUM), 80333 Munich, Germany
Jose Rodriguez: Faculty of Engineering, University Andrés Bello, Santiago 8370146, Chile

Sustainability, 2021, vol. 13, issue 16, 1-13

Abstract: In this paper, a deadbeat predictive control (DBPC) technique for doubly-fed induction generators (DFIGs) in wind turbine applications is proposed. The major features of DBPC scheme are its quick dynamic performance and its fixed switching frequency. However, the basic concept of DBPC is computing the reference voltage for the next sample from the mathematical model of the generator. Therefore, the DBPC is highly sensitive to variations of the parameters of the DFIG. To reduce this sensitivity, a disturbance observer is designed in this paper to improve the robustness of the proposed DBPC scheme. The proposed observer is very simple and easy to be implemented in real-time applications. The proposed DBPC strategy is implemented in the laboratory. Several experiments are performed with and without mismatches in the DFIG parameters. The experimental results proved the superiority of the proposed DBPC strategy over the traditional DBPC technique.

Keywords: predictive control; doubly-fed induction generator; constant switching frequency; disturbance estimator; robustness (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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