• DocumentCode
    473440
  • Title

    A load parameter identification method based on wide area measurement

  • Author

    Guan, Xiupeng ; Sun, Yuanzhang ; Cheng, Lin

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing
  • fYear
    2007
  • fDate
    3-6 Dec. 2007
  • Firstpage
    431
  • Lastpage
    436
  • Abstract
    A load parameter identification method based on wide area information of power system is presented. Load parameters are identified by fitting the wide area dynamic characters, such as generator angle in this paper. Load parameters of wide area identification can not only simulate the local load dynamic characters but also reflect the wide area system dynamic characters, especially the character of low- frequency oscillation. From the results of trajectory sensitivity analysis, the oscillation of sensitivity trajectory based on wide area information is more evident than that based on local load information. Load parameters of wide area identification can fit the oscillation in power system more accurately. The simulation results prove that the wide area identification method is effective. It is expected that the wide area identification method will be used widely in large scale power system in the future.
  • Keywords
    oscillations; power system measurement; power system parameter estimation; load parameter identification method; local load dynamic characters; low-frequency oscillation; power system oscillation; wide area identification method; wide area measurement; Character generation; Frequency; Large-scale systems; Parameter estimation; Power system analysis computing; Power system dynamics; Power system measurements; Power system simulation; Sensitivity analysis; Wide area measurements; parameter identification; synthetic load model; trajectory sensitivity; wide area identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2007. IPEC 2007. International
  • Conference_Location
    Singapore
  • Print_ISBN
    978-981-05-9423-7
  • Type

    conf

  • Filename
    4510068