• DocumentCode
    1170523
  • Title

    Topologically-Partitioned Power System State Estination

  • Author

    Gu, J.W. ; Clements, K.A. ; Krumpholz, G.R. ; Davis, P.W.

  • Author_Institution
    Worcester Polytechnic Institute
  • Issue
    2
  • fYear
    1983
  • Firstpage
    483
  • Lastpage
    491
  • Abstract
    Estimating the state of a large electric power system is an ill-conditioned computational task simply because of its size. This paper describes a technique which reduces the large state estimation problem to a set of smaller least-squares problems plus the solution of a square system. An observability algorithm developed earlier is used to partition the system into sub- networks whose states are estimated separately. These separate estimates are reconciled using the solution of an interconnecting subnetwork consisting entirely of measurements whose removal would render the full system unobservable. Under appropriate conditions, this partitioned state estimate is identical with the usual full least-squares estimate. Details of the implementation of this algorithm are given, and its application to the IEEE 30-bus network is described.
  • Keywords
    Jacobian matrices; Network topology; Nonlinear equations; Observability; Partitioning algorithms; Power measurement; Power system measurements; Power systems; State estimation; Voltage measurement;
  • fLanguage
    English
  • Journal_Title
    Power Apparatus and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9510
  • Type

    jour

  • DOI
    10.1109/TPAS.1983.317718
  • Filename
    4111954