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Optimal Metaheuristic-Based Feedback Linearization Control of DFIG Wind Turbine System

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Abstract

This work is based on meta-heuristic optimization (MOT) techniques that are currently used to optimize various problems. Known for its simplicity and stochastic nature, MOT is used to solve complex engineering problems. There are different categories of MOT, but this article will focus on techniques from artificial bee colony (ABC) and grey wolf optimizer (GWO). In this paper, an optimal feedback linearization control (FLC) for active and reactive powers control of a doubly fed induction generator (DFIG) is considered. The adopted controller is based on metaheuristic optimization techniques (MOTs) such as ABC and GWO. MOTs algorithms are proposed for tuning and generating optimal gains for PI controller to overcome the imperfections of the traditional tuning method, in order to enhance the performance of FLC-DFIG response. The control strategy is tested via a 1.5 MW DFIG wind turbine using MATLAB-SIMULINK. The simulation results confirm the improved performance of the DFIG wind system controlled by the optimal feedback linearization control compared to the classical feedback linearization control in terms of maximum overshoot, steady-state error, and settling time. The comparative results show the efficiency of the proposed improvement approach which provided the best overshoot value, outperforming the classical method by 6.82% and 43.85%, respectively. For the settling time, the superiority was in the order of approximately 9.38% and 87.85%. Considering the steady-state error, the proposed approach's superiority is 210% and more than 3e3% respectively.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Ibn Khaldoun University, Tiaret, Algeria

    Kada Boureguig

  2. FCLAB, UTBM, CNRS, University Bourgogne Franche-Comté, Rue Ernest Thierry Mieg, 90010, Belfort, France

    Salah Soued

  3. Department of Electrical Engineering, University of M’sila, M’sila, Algeria

    Fayssal Ouagueni

  4. Electrical Drives Laboratory, University of Sciences and Technology, Oran, Algeria

    Abdelghani Chahmi

Authors
  1. Kada Boureguig
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  2. Salah Soued
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  3. Fayssal Ouagueni
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  4. Abdelghani Chahmi
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Correspondence to Kada Boureguig.

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Appendix

Appendix

Parameters

Value

Unit

Nominal power

1.5

MW

Turbine radius

35.25

m

Gearbox gain

90

 

Stator Voltage

398/690

v

Stator frequency

50

Hz

Number of pairs poles

2

 

Nominal speed

150

rad/sec

Stator resistance

0.012

Ω

Rotor resistance

0.021

Ω

Stator inductance

0.0137

H

Rotor inductance

0.0136

H

Mutual inductance

0.0135

H

Inertia

1000

kg.m2

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Boureguig, K., Soued, S., Ouagueni, F. et al. Optimal Metaheuristic-Based Feedback Linearization Control of DFIG Wind Turbine System. J. Electr. Eng. Technol. (2023). https://doi.org/10.1007/s42835-023-01386-2

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  • DOI: https://doi.org/10.1007/s42835-023-01386-2

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