• DocumentCode
    647739
  • Title

    A new robust identification method for Xq of synchronous generator with steady-state PMU data

  • Author

    Ancheng Xue ; Junli Zhang ; Tianshu Bi ; Shi Chen ; Wei Tang ; Shijun Hu

  • Author_Institution
    State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a robust on-line identification method for the synchronous generator´s quadrature-axis synchronous reactance Xq with steady-state PMU (Phasor Measurement Unit) data. Firstly, the mathematical formulation for identification of Xq, which is a least square estimation with the objective of terminal voltage fiting is introduced. And then, the robust Huber estimation, which can eliminate the effects of gross errors among measured data, is presented. Furthermore, the Huber estimation is applied to identification for Xq by modifying its objective function. Simulation results with PSASP data verify the high accuracy and robustness of the proposed method in different situations. Moreover, simulation results with the field data of a 667-MVA generator show the effectiveness of the proposed approaches.
  • Keywords
    electric reactance; least squares approximations; phasor measurement; synchronous generators; apparent power 667 MVA; least square estimation; on-line identification method; phasor measurement unit data; quadrature-axis synchronous reactance; robust Huber estimation; robust identification method; steady-state PMU data; synchronous generator; terminal voltage fiting; Estimation; Parameter estimation; Phasor measurement units; Robustness; Steady-state; Synchronous generators; Huber estimation; on-line parameter identification; quadrature-axis synchronous reactance; robust least squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672269
  • Filename
    6672269