• DocumentCode
    1180193
  • Title

    A Hybrid State Estimator: Solving Normal Equations By Orthogonal Transformations

  • Author

    Monticelli, A. ; Murari, C.A.F. ; Wu, Felix F.

  • Author_Institution
    Department of Electrical Engineering and Computer Sciences and the Electronics Research Laboratories University of California
  • Issue
    12
  • fYear
    1985
  • Firstpage
    3460
  • Lastpage
    3468
  • Abstract
    The standard approach to the solution of the weighted least square (WLS) state estimation in power system is the iterative normal equations method. Occasional ill-conditioning has been experienced with this method. Recently alternative solution approaches based on orthogonal transformations have been proposed. Sparsity generally suffers in these methods. In this paper, the network condition which causes ill- conditioning is studied. A hybrid approach which enjoys the same numerical robustness of the orthogonal methods with sparsity close to the standard WLS method is presented. The modification needed to implement the hybrid method on an existing standard WLS state estimation program is quite small.
  • Keywords
    Hybrid power systems; Iterative methods; Jacobian matrices; Laboratories; Least squares approximation; Nonlinear equations; Power engineering computing; Robustness; Sparse matrices; State estimation;
  • fLanguage
    English
  • Journal_Title
    Power Apparatus and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9510
  • Type

    jour

  • DOI
    10.1109/TPAS.1985.318896
  • Filename
    4113043