A Robust Maximum Power Point Tracking Control Strategy for Doubly-Fed Induction Generator Wind Turbines Using Advanced Sliding Mode Control Under Variable Wind Conditions

Itouchene, Hichem; Amrane, Fayssal; Boudries, Zoubir

doi:10.24200/sci.2025.64527.8992

A Robust Maximum Power Point Tracking Control Strategy for Doubly-Fed Induction Generator Wind Turbines Using Advanced Sliding Mode Control Under Variable Wind Conditions

Articles in Press

Document Type : Research Article

Authors

Hichem Itouchene ¹

Fayssal Amrane ²

Zoubir Boudries ¹

¹ Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Algérie,

² LAS Research Laboratory, Department of Electrical Engineering, Setif-1 University Ferhat ABBAS, 19000 Setif, Algeria.

10.24200/sci.2025.64527.8992

Abstract

Wind energy plays a pivotal role in the transition to sustainable energy sources. This paper presents a robust control strategy, the Variable Gain Super Twisting Sliding Mode Control (VGSTA-SMC), applied at the maximum power point tracking (MPPT) level. VGSTA-SMC is designed to precisely locate the MPPT, maximizing wind energy extraction while enhancing tracking performance and system stability. The primary objective is to improve the performance of Doubly Fed Induction Generator (DFIG) wind turbines under sudden wind speed variations by reducing the chattering phenomenon, managing external disturbances, and addressing slow response issues. The effectiveness of the proposed control strategy is verified by comparing it with Third-Order Sliding Mode Control (TO-SMC) and Proportional-Integral (PI) control. Simulation results using MATLAB/Simulink demonstrate that the proposed method enhances resilience to wind speed fluctuations and system uncertainties, ensuring smooth and efficient operation. By overcoming the limitations of conventional control methods, this strategy supports the broader adoption of wind energy systems. The study underscores the potential of advanced control techniques in optimizing renewable energy systems.

Keywords

Wind Energy

DFIG

MPPT

Sliding Mode Control

Nonlinear control

PI Controller

Chattering Phenomenon

Subjects