• DocumentCode
    827978
  • Title

    Weighted least squares methods for load estimation in distribution networks

  • Author

    Wan, Jie ; Miu, K.N.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Drexel Univ., Philadelphia, PA, USA
  • Volume
    18
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1338
  • Lastpage
    1345
  • Abstract
    This paper investigates two weighted least squares (WLS) approaches to the problem of load estimation (LE) in unbalanced power distribution networks: (1) the WLS load parameter method in is restated more rigorously; and (2) 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 proposed by the authors previously (see Proc. IEEE Int. Symp. Circuits Syst., Pheonix, AZ, vol.5, p.697-700, 2002). The results of both methods are compared and discussed. Observability issues are also addressed.
  • Keywords
    distribution networks; least squares approximations; load (electric); observability; power system parameter estimation; power system state estimation; 394-bus radial system; constrained distribution state estimation; distribution networks; error indices; load estimation; loading constraints; observability; operating cosntraints; unbalanced power distribution networks; weakly meshed power distribution systems; weighted least squares methods; Intelligent networks; Least squares approximation; Least squares methods; Load modeling; Observability; Power distribution; Power generation economics; Power system economics; Power systems; State estimation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2003.818588
  • Filename
    1245555