Experimental Investigation of DFIG-based Wind Energy Conversion System Using Fuzzy Logic Control

Authors

  • Mohamed Hallouz ORCID
    Affiliation

    Laboratory of Electrical engineering and Automation, Electrical Engineering Department, Yahia Fares University of Medea, Urban Pole, 26083 Medea, Algeria

  • Nadir Kabeche ORCID
    Affiliation

    Laboratory of Electrical engineering and Automation, Electrical Engineering Department, Yahia Fares University of Medea, Urban Pole, 26083 Medea, Algeria

  • Samir Moulahoum ORCID
    Affiliation

    Laboratory of Electrical engineering and Automation, Electrical Engineering Department, Yahia Fares University of Medea, Urban Pole, 26083 Medea, Algeria

  • Ziane Kechidi ORCID
    Affiliation

    Laboratory of Electrical engineering and Automation, Electrical Engineering Department, Yahia Fares University of Medea, Urban Pole, 26083 Medea, Algeria

https://doi.org/10.3311/PPee.21233

Abstract

In this paper, an experimental study of a Wind Energy Conversion System (WECS) is performed. A test bench with a power of 1.5 kW is setup. The system consists of a Doubly-Fed Induction Generator (DFIG) and a wind emulator based on a DC motor associated with a Maximum Power Point Tracking (MPPT) control. The proposed emulator is driven by a four quadrants DC/DC converter to produce a real wind turbine behavior. The aim of this work is to improve the DIFG performances by using the fuzzy logic-based intelligent controller. This control technic is designed to monitor the stator reactive and active powers. This can be achieved by the DFIG rotor side converter (RSC) using the field-oriented control. The experimental setup uses a dSPACE DS1104 device, MATLAB/Simulink software and a ControlDesk interface. The paper shows that, the desired amount of active and reactive powers has been independently controlled and the implementation is successfully verified the effectiveness of the proposed control scheme achieved using the FLC strategy.

Keywords:

DFIG, wind energy, fuzzy logic control, wind turbine emulator

Citation data from Crossref and Scopus

Published Online

2023-07-04

How to Cite

Hallouz, M., Kabeche, N., Moulahoum, S., Kechidi, Z. “Experimental Investigation of DFIG-based Wind Energy Conversion System Using Fuzzy Logic Control”, Periodica Polytechnica Electrical Engineering and Computer Science, 67(3), pp. 260–267, 2023. https://doi.org/10.3311/PPee.21233

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Section

Articles