• DocumentCode
    157092
  • Title

    A predictive power control of Doubly fed induction generator for wave energy converter in irregular waves

  • Author

    Lagoun, M.S. ; Benalia, A. ; Benbouzid, M.E.H.

  • Author_Institution
    Lab. d´Anal. et de Commande des Syst. d´Energie et Reseaux Electr., Laghouat, Algeria
  • fYear
    2014
  • fDate
    25-27 March 2014
  • Firstpage
    26
  • Lastpage
    31
  • Abstract
    In last decades, renewable energy resources are considered as an alternative energy resource to the World´s excessive energy demand. An extremely abundant and promising source of energy exists in oceans. Currently, there are several wave energy converters to harness this energy. Some of them, as in tidal applications, use the Doubly-fed induction generator. This paper deals then with a predictive power control of this generator based Wave Energy Converter under irregular wave climate which is modeled as time series elevation from using Bretschneider spectra. In the proposed control approach, the predicted output power was calculated using a linearized state-space model. The DFIG-based WEC power tracking performances further illustrates the dynamic features of the proposed predictive power control approach.
  • Keywords
    asynchronous generators; power generation control; predictive control; state-space methods; time series; wave power generation; wave power plants; Bretschneider spectra; doubly fed induction generator; irregular wave climate; linearized state-space model; power tracking performance; predicted output power; predictive power control; renewable energy resources; time series elevation; wave energy converter; Generators; Mathematical model; Power control; Predictive models; Reactive power; Rotors; Stators; Wave energy converter (WEC); doubly-fed induction generator (DFIG); irregular wave; predictive power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Energy, 2014 International Conference on
  • Conference_Location
    Sfax
  • Print_ISBN
    978-1-4799-3601-4
  • Type

    conf

  • DOI
    10.1109/ICGE.2014.6835392
  • Filename
    6835392