• DocumentCode
    2874012
  • Title

    Model Predictive Direct Power Control for grid-connected converters

  • Author

    Geyer, Tobias ; Scoltock, James ; Madawala, Udaya

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    1438
  • Lastpage
    1443
  • Abstract
    This paper presents a Model Predictive Direct Power Control (MPDPC) scheme for the control of three-phase grid-connected Voltage Source Converters (VSCs). MPDPC builds on the well-known Direct Power Control (DPC) scheme by utilising a state-space model of the system to predict the future behaviour of the system. MPDPC achieves optimal performance by minimising the switching losses or switching frequency of the converter while regulating the output real and reactive powers. The scheme presented here utilises the Virtual Flux (VF) estimation technique which enables accurate estimation of the output real and reactive power without the use of line-voltage sensors. Through simulation, it is shown that at a fixed level of current distortion, MPDPC is capable of outperforming Pulse Width Modulation (PWM) in terms of switching losses.
  • Keywords
    PWM power convertors; power control; power grids; predictive control; reactive power control; MPDPC scheme; current distortion; line-voltage sensors; model predictive direct power control scheme; pulse width modulation; reactive power regulation; state-space model; switching frequency; switching losses; three-phase grid-connected voltage source converters; virtual flux estimation technique; Hysteresis; Predictive models; Pulse width modulation; Reactive power; Switches; Switching loss; Vectors; Model predictive control; direct power control; grid connected converter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-61284-969-0
  • Type

    conf

  • DOI
    10.1109/IECON.2011.6119519
  • Filename
    6119519