• DocumentCode
    1720321
  • Title

    Clustering techniques for energy losses evaluation in distribution networks

  • Author

    Cartina, G. ; Grigoras, G. ; Bobric, E.C.

  • Author_Institution
    Dept. of Power Syst., Gh. Asachi Tech. Univ., Iasi, Romania
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The size and complexity of primary distribution networks make it impossible to carry out an exhaustive analysis of each individual feeder, so a sampling approach may be adopted to evaluate the energy losses for whole distribution networks. Clustering techniques were applied to several databases, obtaining particular characteristics of the feeders groups. For every group (cluster), the feeder that represents the best the group characteristics and the energy losses was identified.
  • Keywords
    loss measurement; power distribution; statistical analysis; clustering techniques; distribution networks; energy losses evaluation; feeder analysis; feeder group characteristics; sampling approach; Databases; Energy loss; Helium; Load modeling; Power systems; Process planning; Reactive power; Sampling methods; Substations; Transformers; clustering techniques; power losses; radial distribution networks; representative radial network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5282017
  • Filename
    5282017