• DocumentCode
    3140018
  • Title

    Predictive direct power control of grid-connected voltage-sourced converters under unbalanced grid voltage conditions

  • Author

    Shang, Lei ; Sun, Dan ; Hu, Jiabing ; He, Yikang

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    15-18 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposed a modified predictive direct power control (P-DPC) strategy for a grid-connected voltage-sourced converter under unbalanced grid voltage conditions. The proposed P-DPC strategy is implemented in the stationary reference frame without the necessity of either the space vector modulation or the synchronous speed d-q transformation. A compensation method is adopted in the conventional P-DPC to eliminate the negative sequence component of gird current for the purpose of obtaining the symmetrical and sinusoidal grid current under unbalanced grid voltage conditions. Positive and negative sequence components extraction is also avoided in the proposed method. Simulation results verified that the modified P-DPC strategy is effective to obtain symmetrical and sinusoidal grid currents under unbalanced grid voltage conditions.
  • Keywords
    PWM power convertors; compensation; power grids; power system control; predictive control; P-DPC strategy; compensation method; grid-connected voltage-sourced converters; negative sequence components extraction; positive sequence components extraction; predictive direct power control; sinusoidal grid current; stationary reference frame; symmetrical grid current; unbalanced grid voltage conditions; Control systems; Converters; Machine vector control; Power control; Power conversion; Reactive power; Switches; Switching frequency; Virtual colonoscopy; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2009. ICEMS 2009. International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5177-7
  • Electronic_ISBN
    978-4-88686-067-5
  • Type

    conf

  • DOI
    10.1109/ICEMS.2009.5382833
  • Filename
    5382833