• DocumentCode
    1614530
  • Title

    Static error identification: Application to line parameter estimation

  • Author

    Zhang, Yan ; Larsson, Mats

  • Author_Institution
    Southwest Univ., Chongqing, China
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper made a review of static error identification techniques in power system state estimation. It then illustrated the application of Kalman filter in estimation of static errors, such as line parameters. Using the test cases for line parameter estimation, the paper demonstrated that the simple scheme of resetting of parameter covariance matrix will improve the estimation performance.
  • Keywords
    covariance matrices; parameter estimation; power systems; state estimation; line parameter estimation; parameter covariance matrix; power system state estimation; static error identification; static errors; Covariance matrix; Kalman filters; Measurement uncertainty; Noise measurement; Parameter estimation; State estimation; Kalman filter tuning; Parameter estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-5938-4
  • Type

    conf

  • DOI
    10.1109/POWERCON.2010.5666599
  • Filename
    5666599
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1614530