• DocumentCode
    2275254
  • Title

    Control methods for Low Voltage Ride-Through compliance in grid-connected NPC converter based wind power systems using predictive control

  • Author

    Alepuz, S. ; Busquets-Monge, S. ; Bordonau, J. ; Cortés, P. ; Kouro, S.

  • Author_Institution
    Dept. Electron. Eng., Tech. Univ. of Catalonia, Barcelona, Spain
  • fYear
    2009
  • fDate
    20-24 Sept. 2009
  • Firstpage
    363
  • Lastpage
    369
  • Abstract
    In presence of grid voltage dips, Low Voltage Ride-Through (LVRT) requirements demand the wind power plant to remain connected to the grid, helping the network to keep voltage and frequency stable. Neutral-point-clamped (NPC) converters are appropriate for wind power systems, because the current trend of increasing voltage levels. Predictive current control presents as fast dynamic response and accurate reference tracking as other well established control methods, while providing more flexibility. In this work, three different control strategies are applied to the grid-side NPC converter, in order to fulfil LVRT requirements, which are implemented with the predictive current control technique. Dc-link neutral point voltage is kept balanced by the predictive control algorithm, using the redundant switching states of the NPC converter. Simulation results confirm the validity of the proposed control approach.
  • Keywords
    electric current control; power convertors; power generation control; predictive control; wind power plants; dc-link neutral point voltage; grid voltage dips; grid-connected neutral-point-clamped converter; low voltage ride-through compliance; predictive current control; wind power systems; NPC inverter; Predictive control; distributed power generation; grid interface; multilevel inverters; wind power generation; wind-power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition, 2009. ECCE 2009. IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-2893-9
  • Electronic_ISBN
    978-1-4244-2893-9
  • Type

    conf

  • DOI
    10.1109/ECCE.2009.5316139
  • Filename
    5316139