• DocumentCode
    132338
  • Title

    System stability improvement through HVDC supplementary Model Predictive Control

  • Author

    Alamuti, Mohsen Mohammadi ; Rabbani, Ronak ; Kerahroudi, Shadi Khaleghi ; Taylor, Gareth A.

  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Bulk power transfer requirements over long distances within a country or between neighboring countries as well as rapid increase in the number of offshore wind farms, have increased the application of high voltage DC links. Apart from the controllable power flow function of HVDC systems, advanced controllers can be employed to extend their functionality for dynamic and transient stability improvement of AC systems. As an attempt to improve the influence of HVDC technology on AC system stability, this paper proposes a supplementary active power controller for the HVDC system. The Model Predictive Control (MPC) approach is considered for the control design. The design process of weight tuning and parameterization of the MPC controller has been investigated. Additionally the effect of controller model reduction is demonstrated in the presented results.
  • Keywords
    HVDC power transmission; load flow control; power control; power system transient stability; power transmission control; predictive control; reduced order systems; wind power plants; HVDC supplementary model predictive control; HVDC systems; active power controller; controller model reduction; dynamic stability improvement; offshore wind farms; power flow function; system stability improvement; transient stability improvement; weight tuning; HVDC transmission; Mathematical model; Oscillators; Power system stability; Power system transients; Predictive control; Stability analysis; HVDC link; Model Predictive Control; Power system stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference (UPEC), 2014 49th International Universities
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4799-6556-4
  • Type

    conf

  • DOI
    10.1109/UPEC.2014.6934683
  • Filename
    6934683