Predictive Control MPC for wind turbine systems based DFIG

In this paper, we present a new contribution for the control of wind systems based on DFIG. The MPC predictive control offers better performance in terms of tracking and robustness compared to other controls. By using the relationship between rotor voltages and active and reactive power derivatives, the suggested algorithm, the model predictive control optimized by the FCS-MPPC finite control set, directly controls the DFIG powers. The proposed model is validated by the Matlab & Simulink environment thus the results obtained show better performance in terms of stability and efficiency, the results have been well interpreted and compared.

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Publication Details

Published
2025-01-15
DOI
https://doi.org/10.1109/lt64002.2025.10940075
Primary Topic
Wind Turbine Control Systems
Type
article
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article

Predictive Control MPC for wind turbine systems based DFIG

Ismail El Kafazi, Thamer A. H. Alghamdi, Hicham Oufettoul, Farah Echiheb et al.
Wind Turbine Control Systems
article

Predictive Control MPC for wind turbine systems based DFIG

Ismail El Kafazi, Thamer A. H. Alghamdi, Hicham Oufettoul, Farah Echiheb, Badre Bossoufi
article en

Abstract

In this paper, we present a new contribution for the control of wind systems based on DFIG. The MPC predictive control offers better performance in terms of tracking and robustness compared to other controls. By using the relationship between rotor voltages and active and reactive power derivatives, the suggested algorithm, the model predictive control optimized by the FCS-MPPC finite control set, directly controls the DFIG powers. The proposed model is validated by the Matlab & Simulink environment thus the results obtained show better performance in terms of stability and efficiency, the results have been well interpreted and compared.

Moroccan Foundation for Advanced Science, Innovation and Research (MA), Institut of Research in Solar Energy and New Energies (MA), Al Baha University (SA), Sidi Mohamed Ben Abdellah University (MA)
Affordable and clean energy
Openalex Percentile: Top 95%
Wind Turbine Control Systems
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