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All Journal IAES International Journal of Robotics and Automation (IJRA) International Journal of Applied Power Engineering (IJAPE)
Benbouhenni, Habib
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Automotive Engineering Electrical & Electronics Engineering

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COMPARISON STUDY BETWEEN NPWM AND NSVPWM STRATEGY IN FSMC CONTROL OF STATOR REACTIVE AND ACTIVE POWERS CONTROL OF A DFIG-BASED WIND TURBINE SYSTEM BENBOUHENNI, Habib
International Journal of Applied Power Engineering (IJAPE) Vol 10
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v10.i1.pp%p

Abstract

In this work, we present a comparative study between neural space vector pulse width modulation (NSVPWM) and neural pulse width modulation (NPWM) technique in fuzzy-sliding mode control (FSMC) of stator active and stator reactive power control of a doubly fed induction generator (DFIG) for wind energy conversion systems (WECSs). Two strategies approach using FSMC-NSVPWM and FSMC-NPWM are proposed and compared. The validity of the proposed strategies is verified by simulation tests of a DFIG (1.5MW). The reactive power, electromagnetic torque, rotor current and stator active power is determined and compared in the above strategies. The obtained results showed that the proposed FSMC with NSVPWM strategy has stator reactive and active power with low powers ripples and low rotor current harmonic distortion than NPWM strategy.
Application of DPC and DPC-GA to the dual-rotor wind turbine system with DFIG Benbouhenni, Habib
IAES International Journal of Robotics and Automation (IJRA) Vol 10, No 3: September 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v10i3.pp224-234

Abstract

The work presents the dual-rotor wind energy conversion system (DRWECS) with a direct driven doubly-fed induction generator (DFIG). The system consists of a dual-rotor wind turbine (DRWT) with a DFIG, the grid side converter (GSC), and the machine side converter (MSC). To command the MSC, the direct power command (DPC) based on genetic algorithm (GA) and classical pulse width modulation (PWM) has been applied. To achieve the maximum power from the DRWT, the maximum powe point tracking (MPPT) technique has been used. The performed simulation studies confirmed the high performances of the DPC-GA contro method.
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