• DocumentCode
    2196258
  • Title

    Weighted least squares methods for load estimation in distribution networks

  • Author

    Jie Wan ; Miu, Karen

  • Author_Institution
    Drexel Univ., Philadelphia, PA, USA
  • fYear
    2004
  • fDate
    6-10 June 2004
  • Abstract
    Summary form only given. This paper investigates two weighted least squares (WLS) approaches to the problem of load estimation (LE) in unbalanced power distribution networks: (i) the WLS load parameter method is restated more rigorously and (ii) a constrained distribution state estimation (DSE) based method is introduced to consider operating and loading constraints. Detailed simulation results on 394 bus radial and weakly meshed power distribution systems are evaluated through four error indices. The results of both methods are compared and discussed. Observability issues are also addressed.
  • Keywords
    distribution networks; least squares approximations; observability; state estimation; distribution state estimation; error indices; load estimation; load parameter method; unbalanced power distribution networks; weighted least squares methods; Intelligent networks; Least squares approximation; Least squares methods; Observability; Power distribution; Power systems; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2004. IEEE
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-8465-2
  • Type

    conf

  • DOI
    10.1109/PES.2004.1372950
  • Filename
    1372950