Robust Control Hâ Fuzzy of a Doubly Fed Induction Generator Integrated to Wind Power System

  1. 1-Department of Electrical and Computer Engineering, University of Tahri Mohamed Bechar, Bp 417, Algeria. 2-Unité de Recherche en Energies Renouvelables en Milieu Saharien URERMS, Centre de Développement des Energies Renouvelables CDER, 01000, Adrar, Alegria,
  2. Unité de Recherche en Energies Renouvelables en Milieu Saharien URERMS, Centre de Développement des Energies Renouvelables CDER, 01000, Adrar, Alegria,
  3. Department of Electrical and Computer Engineering, University of Tahri Mohamed Bechar, Bp 417, Algeria

Published in Issue 2024-02-15

How to Cite

Saihi, L., Berbaoui, B., & Glaoui, H. (2024). Robust Control H∞ Fuzzy of a Doubly Fed Induction Generator Integrated to Wind Power System. Majlesi Journal of Electrical Engineering, 14(1). https://oiccpress.com/mjee/article/view/4855

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Abstract

This paper proposes a Hâ Fuzzy robust controller for Doubly Fed Induction Generator (DFIG) based wind turbines. The power exchange between the machine stator and  the  grid  is  carried out  by  acting on  the  rotor  via  a bidirectional converter. The control objective is to regulate the stator active and reactive power generated from the DFIG by means of two kinds of controllers named Hâ PI and   Hâ Fuzzy. Comparison study between the proposed controllers considering reference tracking and robustness to parameter variations is discussed. Simulation results illustrate the effectiveness of the Hâ Fuzzy controller compared with the other one for time-varying reference tracking and parameters variations, which improves quality and quantity of generated power.

Keywords

  • DFIG Generator,
  • H∞ Fuzzy Controller,
  • Robust Control,
  • Weighing Function.,
  • Wind Turbine