• DocumentCode
    766565
  • Title

    Estimation of parameter errors from measurement residuals in state estimation [power systems]

  • Author

    Liu, Wen-Hsiung E. ; Wu, Felix F. ; Lun, Shau-Ming

  • Author_Institution
    Energy Manage. Syst. Div., Control Data Corp., Plymouth, MN, USA
  • Volume
    7
  • Issue
    1
  • fYear
    1992
  • fDate
    2/1/1992 12:00:00 AM
  • Firstpage
    81
  • Lastpage
    89
  • Abstract
    Any error of network parameters affects the value of the measurement residuals calculated in state estimation. Explicit mathematical expressions relating the residuals to the parameter errors are derived. A two-step approach is proposed for parameter error estimation. The first step is to estimate a bias vector which combines the effects of parameter errors and the state of the system. A least-square approach using the measurement residuals calculated in each state estimation run is proposed for the first step. After several state estimation runs, a sequence of such bias vectors is obtained. The second step is to estimate the parameter errors from the sequence of bias vectors. A recursive least-square estimation method is proposed for this step. Theoretical and computational issues of the proposed method are addressed. Test results are presented
  • Keywords
    errors; least squares approximations; parameter estimation; power systems; bias vector; error estimation; least-square approach; measurement residuals; network parameters; parameter errors; power systems; recursive least-square estimation method; state estimation; Computer errors; Energy management; Error analysis; Estimation error; Intelligent networks; Parameter estimation; Power measurement; Power system measurements; State estimation; Topology;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.141690
  • Filename
    141690