• DocumentCode
    923585
  • Title

    Identification of network parameter errors

  • Author

    Zhu, Jun ; Abur, Ali

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    21
  • Issue
    2
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    586
  • Lastpage
    592
  • Abstract
    This paper describes a simple yet effective method for identifying incorrect parameters associated with the power network model. The proposed method has the desired property of distinguishing between bad analog measurements and incorrect network parameters, even when they appear simultaneously. This is accomplished without expanding the state or the measurement vectors. There is also no need to a priori specify a suspect parameter set. All these features are verified via simulations that are carried out using different-size test systems for various possible cases. Implementation of the method involves minor changes in the weighted least-squares state estimation code; hence, it can be easily integrated into existing state estimators as an added feature.
  • Keywords
    least squares approximations; power system state estimation; testing; different-size test systems; error identification; network parameters; power network model; weighted least-squares state estimation code; Energy management; Lagrangian functions; Mathematical model; Medical services; Network topology; Power system modeling; Power system simulation; Power transmission lines; State estimation; System testing; Lagrange multipliers; parameter errors; power system state estimation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2006.873419
  • Filename
    1626362