ree&pqj2

 
Wind Turbine Modeling, Maximum Power Point Tracking (MPPT), and Experimental Validation

Ichrak Eben Zaid(1), Daison Stallon(2), Yolanda Vidal(2), Moez Boussada(1), Ahmed Said Nouri(3)

1. COmmande Numérique des Procédés Industriels (CONPRI)
National school of engineers of Gabes, University of Gabes (Tunisia)
2. Control, Modeling, Identification and Applications (CoDAlab), Department of Mathematics, Escola d’Enginyeria de
Barcelona Est (EEBE), Universitat Politecnica de Catalunya (UPC), Barcelona (Spain)
3 COmmande Numérique des Procédés Industriels (CONPRI)
National school of engineers of Sfax, University of Sfax (Tunisia)

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2026-01-20


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Abstract

The research presented is driven by the global increase in wind power capacity and the commitment of the scientific community to facilitate its integration into electrical grids. The focus of this study is the modeling of a wind turbine system, beginning with its mechanical components. To ensure the production of power at optimal levels, a control strategy for Maximum Power Point Tracking (MPPT) based on Optimal Torque (OT) has been adopted. The model and control method, developed in Matlab/Simulink, have demonstrated their precision and efficacy through experimental verification using SCADA data acquired from an operational wind turbine.

Key words: Wind turbine modelling, Matlab/Simulink, MPPT, SCADA data, validation.

Published in: Renewable Energies, Environment & Power Quality Journal (REE&PQJ)
ISSUE: Vol. 24. No.1 Pages: 39-44
E-ISSN: 3020-531 X Date of Current Version: 2026-01-02
REF: 107 Issue Date: 2026-01-26
DOI:10.24084/reepqj24-107 Publisher: AEDERMACP/ EA4EPQ

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