• DocumentCode
    51243
  • Title

    Stabilization of Large Power Systems Using VSC–HVDC and Model Predictive Control

  • Author

    Fuchs, Adi ; Imhof, Markus ; Demiray, Turhan ; Morari, Manfred

  • Author_Institution
    Autom. Control Lab., ETH Zurich, Zurich, Switzerland
  • Volume
    29
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    480
  • Lastpage
    488
  • Abstract
    This paper demonstrates the stabilization of large power systems using voltage-source-converter-based high voltage direct current (HVDC) links. Based on global power system measurements, a model predictive control (MPC) scheme manipulates the power injections of the HVDC links to damp oscillations in the ac system. The grid controller explicitly accounts for constraints and the expected future behavior of the system. Different scenarios like the loss of production, the loss of consumption and changes to the grid topology are studied in the continental European Network of Transmission System Operators for Electricity (ENTSO-E) system. The simulations illustrate the performance enhancement obtained with a global MPC-based grid controller, compared to a local damping controller and HVDC links with constant reference values.
  • Keywords
    HVDC power convertors; HVDC power transmission; power system stability; power transmission control; predictive control; ENTSO-E system; MPC scheme; VSC-HVDC; continental European Network of Transmission System Operators for Electricity; global MPC-based grid controller; global power system measurements; grid topology; large power systems stabilization; model predictive control; power injections; production loss; voltage-source-converter-based high voltage direct current links; HVDC transmission; Load modeling; Power conversion; Power system dynamics; Power system stability; Voltage control; AC–DC power converters; HVDC transmission; power system control; power system dynamics; power system stability; predictive control;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2013.2280467
  • Filename
    6632979