• DocumentCode
    2427489
  • Title

    Determination of Feeder Losses by an Improved Linear Model in a Radial Circuit

  • Author

    Sekar, Arun ; Mwakabuta, Ndaga

  • fYear
    2007
  • fDate
    4-6 March 2007
  • Firstpage
    199
  • Lastpage
    203
  • Abstract
    Feeder losses play an important role in the economics of a distribution system. In the traditional power flow analysis algorithms, the losses are determined as a follow up of the feeder voltages and currents. In this paper the line flow based analysis proposed by Yan and Sekar (2005) is extended to derive an improved linear model that can directly evaluate the losses with sufficiently good accuracy. The proposed technique uses feeder section power and reactive power and the receiving end voltage as the variables to be determined. After writing line voltage equations and power and reactive power balance equations at each feeder section, the improved linear model is derived using the Taylor series expansion. The improved model is applied to the standard IEEE 13 Node Test Feeder distribution system and shown to provide the losses quite accurately. The paper provides extensions of application of the model to solve some practical problems.
  • Keywords
    power distribution economics; power distribution reliability; reactive power; series (mathematics); Taylor series expansion; distribution system economics; feeder current; feeder loss; feeder reactive power; feeder section power; feeder voltage; line voltage equation; linearized distribution system; power flow analysis; radial circuit; radial distribution system; Circuits; Equations; Load flow analysis; Power generation economics; Power system economics; Power system modeling; Reactive power; Taylor series; Voltage; Writing; Feeder losses; Line flows; Linearized distribution system; Radial Distribution system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2007. SSST '07. Thirty-Ninth Southeastern Symposium on
  • Conference_Location
    Macon, GA
  • ISSN
    0094-2898
  • Print_ISBN
    1-4244-1126-2
  • Electronic_ISBN
    0094-2898
  • Type

    conf

  • DOI
    10.1109/SSST.2007.352348
  • Filename
    4160834