• DocumentCode
    396161
  • Title

    Estimating loads in distribution feeders using a state estimator algorithm with additional adjustment of transformers loading factors

  • Author

    Almeida, Marcos A D ; Silveira, Daniel B F ; de Medeiros, M.F.

  • Author_Institution
    Dept. of Electr. Eng., Univ. Fed. do Rio Grande do Norte, Natal, Brazil
  • Volume
    3
  • fYear
    2003
  • fDate
    25-28 May 2003
  • Abstract
    The main characteristic that hinders the application of state estimation methods in a distribution network is the limited amount of available data in real time. However, the need for automating and controlling the operation requires the use of some equipment that incorporates measurement modules of network variables, the values of which are transmitted in real time for the System Operation Center. These variables, combined with data obtained off-line - that are treated as pseudomeasurement - allow the application of traditional algorithms of state estimation for a distribution system. The main objective of this paper consists of showing how such a model can be developed to accomplish an estimate of the loads in a primary distribution network. These values can be used for many planning purposes like, for example, estimates of technical losses, using further load flow calculations.
  • Keywords
    load flow; power distribution control; power distribution planning; power system state estimation; distribution feeders; distribution network; load flow calculations; planning purposes; primary distribution network; pseudomeasurement; state estimation methods; state estimator algorithm; system operation center; technical losses estimation; transformer loading factors; Automatic control; Control systems; Equations; Jacobian matrices; Load flow; Power system planning; Real time systems; State estimation; Transformers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
  • Print_ISBN
    0-7803-7761-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.2003.1205022
  • Filename
    1205022