• DocumentCode
    1217490
  • Title

    Predictive Current Control of Doubly Fed Induction Generators

  • Author

    Xu, Lie ; Zhi, Dawei ; Williams, Barry W.

  • Author_Institution
    Sch. of Electron., Electr. Eng. & Comput. Sci., Queen´´s Univ. of Belfast, Belfast, UK
  • Volume
    56
  • Issue
    10
  • fYear
    2009
  • Firstpage
    4143
  • Lastpage
    4153
  • Abstract
    This paper presents a predictive current control (PCC) strategy for doubly fed induction generators (DFIGs). The method predicts the DFIG´s rotor current variations in the synchronous reference frame fixed to the stator flux within a fixed sampling period. This is then used to directly calculate the required rotor voltage to eliminate the current errors at the end of the following sampling period. Space vector modulation is used to generate the required switching pulses within the fixed sampling period. The impact of sampling delay on the accuracy of the sampled rotor current is analyzed and detailed compensation methods are proposed to improve the current control accuracy and system stability. Experimental results for a 1.5-kW DFIG system illustrate the effectiveness and robustness of the proposed control strategy during rotor current steps and rotating speed variation. Tests during negative-sequence current injection further demonstrate the excellent dynamic performance of the proposed PCC method.
  • Keywords
    asynchronous generators; electric current control; machine control; modulation; predictive control; stability; stators; DFIG rotor current variation; compensation method; doubly fed induction generator; negative-sequence current injection; power 1.5 kW; predictive current control strategy; sampling period; space vector modulation; stator flux; system stability; Doubly fed induction generators (DFIGs); predictive current control (PCC); voltage-source converters (VSCs); wind energy;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2009.2017552
  • Filename
    4808115