• DocumentCode
    1295965
  • Title

    Bilinear Power System State Estimation

  • Author

    Gómez-Expósito, Antonio ; Gómez-Quiles, Catalina ; de la Villa Jaen, Antonio

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Seville, Seville, Spain
  • Volume
    27
  • Issue
    1
  • fYear
    2012
  • Firstpage
    493
  • Lastpage
    501
  • Abstract
    This paper presents a three-stage state estimation methodology based on the sequential solution of two weighted least squares (WLS) linear problems with a nonlinear explicit transformation in between. This requires that appropriate sets of auxiliary variables be introduced so that the resulting measurement models become linear. Simulation results show that the proposed approach yields, in a non-iterative manner, virtually the same solution as that provided by the Gauss-Newton iterative scheme arising in the conventional WLS method.
  • Keywords
    Newton method; least squares approximations; power system state estimation; Gauss-Newton iterative scheme; WLS linear problem; auxiliary variables set; bilinear power system state estimation; linear measurement model; noniterative manner; nonlinear explicit transformation; three-stage state estimation methodology; weighted least square linear problem; Covariance matrix; Jacobian matrices; Power measurement; Redundancy; Sparse matrices; State estimation; Vectors; Factorized state estimation; linear weighted least squares (WLS); measurement prefiltering;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2011.2162256
  • Filename
    5982114