• DocumentCode
    1128037
  • Title

    On-line measurement-based model parameter estimation for synchronous generators: solution algorithm and numerical studies

  • Author

    Wang, Jin-Cheng ; Chiang, Hsiao-Dong ; Huang, Chiang-Tsung ; Chen, Yung-Tien ; Chang, Chung-Liang ; Chiou, Chiew-Yann

  • Author_Institution
    Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    9
  • Issue
    2
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    337
  • Lastpage
    343
  • Abstract
    In this paper, a sixth-order synchronous generator model identification technique from online measurements is considered. An algorithm is devised to identify the generator model. A constrained conjugate gradient method is incorporated into the algorithm to guarantee rapid convergence to the final solution. Using the algorithm, a complete generator model is derived from online measurements recorded by a plant transient recording system during a system disturbance. In addition, the algorithm does not greatly rely upon the accuracy of the initial estimates, allowing the initial estimates to deviate reasonably far from the true parameters. Detailed numerical studies of the Taipower system using raw and filtered data are included
  • Keywords
    conjugate gradient methods; convergence of numerical methods; machine theory; parameter estimation; power system control; power system stability; synchronous generators; accuracy; algorithm; constrained conjugate gradient method; convergence; disturbance; online measurements; parameter estimation; power system stability; sixth-order model; synchronous generators; Circuit faults; Data preprocessing; Fault diagnosis; Gradient methods; Parameter estimation; Power harmonic filters; Power system modeling; Power system transients; Synchronous generators; Transient analysis;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.300139
  • Filename
    300139