This paper presents the control study of a variable speed Wind Energy Conversion System (WECS) based on the Doubly Fed Induction Generator (DFIG). The generator is connected directly to grid by its stator and fed by a Matrix Converter (MC) at its wound rotor. The indirect vector control is adopted. The stator flux is oriented for controlling the power and current, which are regulated by PI controller via the pole placement technique, and the Venturini Modulation Method (VMM) is applied to control the MC. The performance of the whole system is verified by Matlab/Simulink simulation. Results in transient and steady-state regimes are presented to validate the effectiveness of the proposed wind conversion system. Results confirm the high performance of the control strategy adopted in the wind power generation system based on a DFIG powered by a MC.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling and control of a Wind Energy Conversion System based on DFIG driven by a Matrix Converter


    Beteiligte:


    Erscheinungsdatum :

    01.04.2016


    Format / Umfang :

    3458670 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    DFIG modeling and control in a wind energy conversion system

    Dekhane, A. / Lekhchine, S. / Bahi, T. et al. | IEEE | 2012


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

    Hallouz, Mohamed / Kabeche, Nadir / Moulahoum, Samir et al. | BASE | 2023

    Freier Zugriff

    Improved Backstepping Control of a DFIG based Wind Energy Conversion System using Ant Lion Optimizer Algorithm

    Zeghdi, Zoubir / Barazane, Linda / Bekakra, Youcef et al. | BASE | 2022

    Freier Zugriff

    Performance Analysis of Diode Clamped and Flying Capacitor Multilevel Matrix Converter Used for DFIG-Based Wind System

    Reddy, G. Pandu Ranga / Kumar, D. Mahesh / Rajesh, K. et al. | Springer Verlag | 2023


    H∞ Fuzzy Integral Power Control for DFIG Wind Energy System

    N. Chayaopas / W. Assawinchaichote | BASE | 2017

    Freier Zugriff