• DocumentCode
    3361477
  • Title

    A comparative study regarding the optimal placement of the DG sources

  • Author

    Scarlatache, Florina ; Grigoras, Gheorghe ; Cartina, G. ; Chicco, Gianfranco

  • Author_Institution
    Dept. of Power Syst., Gheorghe Asachi Tech. Univ. of Iasi, Iasi, Romania
  • fYear
    2012
  • fDate
    25-27 Oct. 2012
  • Firstpage
    231
  • Lastpage
    236
  • Abstract
    The paper presents a comparative study regarding the optimal placement of distributed generation (DG) sources into a electrical distribution system using an algorithm with two stages: in the first stage a clustering-based method is used to find the optimal partitioning of the network nodes into clusters, and in the second stage the optimal size of the DG sources in selected representative nodes (pilot nodes) is determined. The study carried out in this paper is focused especially on the selection mode of the pilot nodes. The proposed algorithm is tested on a 20 kV real rural distribution network with 24 nodes. The results demonstrate that the methodology can be successfully used to reduce the real power losses and improve the voltage magnitude in the nodes, in particular determining the optimal placement of DG without violation of the system constraints.
  • Keywords
    distributed power generation; distribution networks; losses; pattern clustering; DG source; clustering-based method; distributed generation source; electrical distribution system; optimal partitioning; optimal placement; pilot node; power loss; real rural distribution network; representative node; voltage 20 kV; voltage magnitude; Clustering algorithms; Cogeneration; Distributed power generation; Energy loss; Linear programming; Load flow; Reactive power; clustering techniques; distributed generation; energy losses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Power Engineering (EPE), 2012 International Conference and Exposition on
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4673-1173-1
  • Type

    conf

  • DOI
    10.1109/ICEPE.2012.6463924
  • Filename
    6463924