Fuzzy Logic Control Using SVPWM to Enhance the Control of the DFIG Driven by a Wind Turbine

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Published: Feb 18, 2022
DOI: https://doi.org/10.37936/ecti-eec.2022201.241670
Keywords:
Wind Turbine Doubly Fed Induction Generator DFIG Fuzzy Logic Control Pulse Width Modulation PWM Space Vector Pulse Width Modulation SVPWM

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Abdelhalim Arif
University of El Oued, Algeria
Youcef Bekakra
University of El Oued, Algeria
Djilani Ben Attous
University of El Oued, Algeria

Abstract

The Fuzzy Logic Controller (FLC) is applied in this paper to enhance the control of a doubly fed induction generator (DFIG) driven by a wind turbine (WT) with the space vector pulse width modulation (SVPWM) inverter. The proposed model is then compared to a classical pulse width modulation (PWM) inverter to improve the quality of the generated energy. The simulation results of these two techniques are presented under MATLAB/Simulink. The results show that FLC-SVPWM gives a lower value for total harmonic distortion (THD) of the stator current as well as reduced ripples of active and reactive powers compared to the FLC-PWM.

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How to Cite
Arif, A. ., Bekakra, Y., & Ben Attous, D. . (2022). Fuzzy Logic Control Using SVPWM to Enhance the Control of the DFIG Driven by a Wind Turbine. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 20(1), 39–50. https://doi.org/10.37936/ecti-eec.2022201.241670
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Vol. 20 No. 1 (2022): Regular Issue (February 2022)
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