• DocumentCode
    2310833
  • Title

    Adaptive SVC damping controller design, using residue method in a multi-machine system

  • Author

    Jalilvand, Abolfazl ; Keshavarzi, Morteza Daviran

  • Author_Institution
    Dept. of Electr. Eng., Zanjan Univ., Zanjan, Iran
  • fYear
    2009
  • fDate
    6-9 May 2009
  • Firstpage
    160
  • Lastpage
    163
  • Abstract
    In this paper the design of an adaptive Power Oscillation Damping (POD) controller has been investigated for a Static Var Compensator (SVC). Simultaneous linearization of power system is carried out through a Recursive Least Squares (RLS) identification algorithm, after which a residue method is applied for adaptive POD parameter tuning. Proposed methodology has been simulated on a four machine test system considering current injection model for SVC. Obtained results through this approach demonstrate that this adaptive POD gives more appropriate performance in comparison with fixed parameter controller in a wide range of operating conditions.
  • Keywords
    adaptive control; least squares approximations; linearisation techniques; machine control; power system control; recursive estimation; static VAr compensators; adaptive POD parameter tuning; adaptive SVC damping controller design; adaptive power oscillation damping controller; fixed parameter controller; four-machine test system; multimachine system; power system linearization; recursive least squares identification algorithm; residue method; static var compensator; Adaptive control; Control systems; Damping; Design methodology; Least squares methods; Power system modeling; Power system simulation; Programmable control; Resonance light scattering; Static VAr compensators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
  • Conference_Location
    Pattaya, Chonburi
  • Print_ISBN
    978-1-4244-3387-2
  • Electronic_ISBN
    978-1-4244-3388-9
  • Type

    conf

  • DOI
    10.1109/ECTICON.2009.5136986
  • Filename
    5136986