• DocumentCode
    2537208
  • Title

    A new methodology for parameter estimation of synchronous generator from disturbance measurements

  • Author

    Cari, E.P.T. ; Alberto, L.F.C. ; Bretas, N.G.

  • Author_Institution
    E.E.S.C., Univ. of Sao Paulo, Sao Paulo
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A new framework to estimate dynamic parameters of synchronous generator is proposed in this paper. The methodology does not require special tests but uses disturbance data collected from the system without disconnecting the generator from the grid. It requires measurements that are easily available, more precisely, the 3-phi currents and voltages, the field voltage and the mechanical rotor speed. The estimation of mechanical and electrical parameters are decoupled offering more robustness to the estimation algorithm. In order to achieve robustness with respect to the initial parameter guesses, the DAEpsilas (Differential-Algebraic Equations) which model the generator are replaced by a constrained minimization problem that overcomes singular problems of the algebraic equations. Finally, the rotor angle is not measured but calculated as a byproduct of the proposed methodology.
  • Keywords
    differential algebraic equations; parameter estimation; synchronous generators; constrained minimization problem; differential-algebraic equations; disturbance measurements; field voltage; mechanical rotor speed; parameter estimation; synchronous generator; Current measurement; Differential algebraic equations; Mechanical variables measurement; Mesh generation; Parameter estimation; Robustness; Rotors; Synchronous generators; System testing; Voltage; DAE; Trajectory sensitivity; parameter estimation; synchronous generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596407
  • Filename
    4596407