• DocumentCode
    2604982
  • Title

    A model parameter correction method based on measured trajectory

  • Author

    An Jun ; Mu Gang ; Huang Qiaolin ; Li Ping

  • Author_Institution
    North China Electr. Power Univ., Baoding, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The validity of digital simulation is with vital importance to the security analysis and planning of power systems. Currently, it is very difficult to determine the erroneous simulation parameters that cause the mismatch of simulation output and measured trajectories. In this paper, a power system dividing and trajectory sensitivity based method is proposed to find the erroneous parameters. First, the power system is divided into several subsystems, and the recorded data is used as the equivalent input to the interested subsystem. Then the relative important parameters that influent the interested subsystem can be selected by trajectory sensitivity analysis, and by tuning the selected parameters the simulation output can match the measured trajectories. New England 10-Generator and 39-Bus System studies show the validity and simplicity of the proposed method.
  • Keywords
    power system analysis computing; power system measurement; power system planning; power system security; digital simulation; measured trajectory; model parameter correction method; power system dividing sensitivity based method; power system planning; power system trajectory sensitivity based method; security analysis; Analytical models; Current measurement; Digital simulation; Power system analysis computing; Power system measurements; Power system modeling; Power system planning; Power system security; Power system simulation; Sensitivity analysis; Digital simulation; WAMS; model validation; trajectory sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348300
  • Filename
    5348300