• DocumentCode
    57325
  • Title

    Multivariable Optimal Control of HVDC Transmission Links With Network Parameter Estimation for Weak Grids

  • Author

    Beccuti, Giovanni ; Papafotiou, Georgios ; Harnefors, Lennart

  • Author_Institution
    ABB Corp. Res., Baden-Dättwil, Switzerland
  • Volume
    22
  • Issue
    2
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    676
  • Lastpage
    689
  • Abstract
    This paper features a model predictive control approach for high-voltage direct current lines (HVDC), where in particular the voltage source converter (VSC) HVDC configuration is investigated. The target is to develop a control method which, given the requested power and voltage values, yields an appropriate set of voltage references to be fed to the modulation scheme of the VSC. A parameter estimation scheme for the model employed in the model predictive control formulation is included. Since the chosen control approach directly encompasses the multivariable nature of the problem, no phase-locked loop is required for the purpose of dq frame alignment, facilitating tuning in the case of weak grids. The considered system is presented, the derived control procedure is described, and numerical simulations are illustrated showing the performance of the proposed approach.
  • Keywords
    HVDC power convertors; HVDC power transmission; modulation; multivariable control systems; numerical analysis; optimal control; phase locked loops; power grids; power transmission control; predictive control; HVDC transmission links; VSC HVDC configuration; dq frame alignment; high-voltage direct current; model predictive control approach; modulation scheme; multivariable optimal control; network parameter estimation; numerical simulations; phase-locked loop; power values; voltage references; voltage source converter; voltage values; weak grids; HVDC transmission; optimal control; power systems dynamics;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2013.2258021
  • Filename
    6515336