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MPPT Performance and Power Quality Improvement by Using Fractional-Order Adaptive Backstepping Control of a DFIG-Based Wind Turbine with Disturbance and Uncertain Parameters

  • Research Article-Electrical Engineering
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Abstract

This paper proposes a fractional-order adaptive backstepping control (FOABC) with disturbance and uncertainty terms compensation for improving the MPPT (maximum power point tracking) performance and output power quality of a doubly fed induction generator (DFIG)-based wind turbine. In the proposed high-efficacy controller, disturbance and uncertainty terms are estimated in real time using an adaptive estimator designed using a recursion design process based on the nonlinear backstepping control. Meanwhile, a robust compensator is schemed and incorporated into the backstepping control algorithm so that it suppresses the effects of external disturbances and system uncertainties and, as a result, ensures the maximum wind energy extraction as much as possible, which is usually well known as MPPT. Furthermore, the fractional-order control approach was deployed in the proposed adaptive backstepping controller to provide a smooth control signal for enhancing the quality of the power injected into the grid. The stability analysis of the overall closed-loop system was performed using Lyapunov's stability theory. The high effectiveness of the proposed control method was assessed through simulation studies carried out in MATLAB/Simulink of a DFIG-wind turbine operating in various conditions.

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Abbreviations

FOABC:

Fractional-order adaptive backstepping control

DFIG:

Doubly fed induction generator

MPPT:

Maximum power point tracking

PI:

Proportional-integral

LCF:

Lyapunov candidate functions

RSC:

Rotor side converter

PWM:

Pulse width modulation

TSR:

Tip speed ratio

SFOC:

Stator flux orientation control

FO:

Fractional-order

CBC:

Classical backstepping controller

FFT:

Fast Fourier transform

THD:

Total harmonic distortion

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Authors and Affiliations

  1. Laboratory of Optics, Information Processing, Mechanics, Energy and Electronics, Department of Physics, Faculty of Sciences, Moulay Ismaïl University, B.P. 11201, Meknes, Morocco

    Abdellatif Kasbi & Abderrafii Rahali

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Correspondence to Abdellatif Kasbi.

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Kasbi, A., Rahali, A. MPPT Performance and Power Quality Improvement by Using Fractional-Order Adaptive Backstepping Control of a DFIG-Based Wind Turbine with Disturbance and Uncertain Parameters. Arab J Sci Eng 48, 6595–6614 (2023). https://doi.org/10.1007/s13369-022-07474-1

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