Work

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

Year: 2022

Type: article

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.

Source: ECTI Transactions on Electrical Engineering Electronics and Communications

DOI: 10.37936/ecti-eec.2022201.241670

Authors: Abdelhalim Arif, Youcef Bekakra, Djilani Ben Attous

Institution: University of Eloued

Language: English

Topic: Wind Turbine Control Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

Funder: Direction Générale de la Recherche Scientifique et du Développement Technologique