Low sensitivity predictive control for doubly-fed induction generators based wind turbine applications
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Fecha
2021
Profesor/a Guía
Facultad/escuela
Idioma
es
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Editor
MDPI
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Licencia CC
Attribution 4.0 International (CC BY 4.0)
Licencia CC
https://creativecommons.org/licenses/by/4.0/
Resumen
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.
Notas
Indexación: Scopus.
Palabras clave
Constant switching frequency, Disturbance estimator, Doubly-fed induction generator, Predictive control, Robustness
Citación
Abdelrahem, M.; Hackl, C.; Kennel, R.; Rodriguez, J. Low Sensitivity Predictive Control for Doubly-Fed Induction Generators BasedWind Turbine Applications. Sustainability 2021, 13, 9150. https:// doi.org/10.3390/su13169150
DOI
10.3390/su13169150