• DocumentCode
    2582551
  • Title

    A fast integer algorithm for observability analysis using network topology

  • Author

    Chen, Rong-Liang

  • Author_Institution
    Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    1989
  • fDate
    1-5 May 1989
  • Firstpage
    41
  • Lastpage
    48
  • Abstract
    An integer algorithm for determining the observability of a power system network with its linearized state estimator model is presented. By using some properties of the allocation of the flow and injection measurements and the network topology, the algorithm manipulates only integer numbers in the measurement Jacobian matrix. Theorems that determine the rank of the special kinds of matrices are proposed to speed up the observability analysis. There is neither manipulation of real numbers nor a complicated combinatorial problem involved in the proposed algorithm. Therefore, it is much simpler and the speed for observability analysis is much faster. Moreover, no numerical problems are encountered. The design and the test results of the algorithm are reported.<>
  • Keywords
    State estimation; matrix algebra; power systems; state estimation; fast integer algorithm; linearized state estimator; measurement Jacobian matrix; network topology; observability analysis; power system network; Algorithm design and analysis; Fluid flow measurement; Jacobian matrices; Network topology; Observability; Power system analysis computing; Power system measurements; Power system modeling; State estimation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Industry Computer Application Conference, 1989. PICA '89, Conference Papers
  • Conference_Location
    Seattle, WA, USA
  • Type

    conf

  • DOI
    10.1109/PICA.1989.38972
  • Filename
    38972