PERFORMANCE INVESTIGATION OF A WIND POWER SYSTEM BASED ON DOUBLE-FEED INDUCTION GENERATOR: FUZZY VERSUS PROPORTIONAL INTEGRAL CONTROLLERS

Authors

  • OMAR-KHALED KRINAH Laboratoire d’électrotechnique de Skikda, université 20 aout 1955 Skikda Author
  • RACHID LALALOU Laboratoire d’électrotechnique de Skikda, université 20 aout 1955 Skikda Author
  • ZAHIR AHMIDA Laboratoire de recherche en électronique de Skikda, Université 20 Août 1955 Skikda Author
  • SOUFIENE OUDINA Laboratoire d’Automatique de Skikda, Université 20 Août 1955 Skikda, Alg Author

Keywords:

Doubly-fed induction generator, Fuzzy logic controller, Maximum power point tracking, Conversion system, Wind turbine, Modeling, Converters

Abstract

This paper presents a comparative control performance study based on different combinations of classical proportional-integral (PI) and intelligent fuzzy logic controllers. The control settings were used to control both active and reactive powers to achieve the optimum operation of a double-feed induction generator (DFIG) integrated into a wind power conversion system with maximum power point tracking (MPPT). For this purpose, a mathematical model of the conversion system (wind turbine-DFIG) is established. The active and reactive powers at the output of the DFIG are controlled separately to achieve a better power factor. The complete model of the wind energy conversion system is simulated and tested in the Matlab-Simulink environment. The results obtained are compared to PI controllers. The study clearly shows the effectiveness of introducing the fuzzy technique in the control loops.

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Published

22.12.2022

Issue

Vol. 67 No. 4 (2022): RRST-EE

Section

Électrotechnique et électroénergétique | Electrical and Power Engineering

How to Cite

PERFORMANCE INVESTIGATION OF A WIND POWER SYSTEM BASED ON DOUBLE-FEED INDUCTION GENERATOR: FUZZY VERSUS PROPORTIONAL INTEGRAL CONTROLLERS. (2022). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 67(4), 403-408. https://journal.iem.pub.ro/rrst-ee/article/view/254