• DocumentCode
    2850799
  • Title

    Improving the voltage profiles of Distribution Networks using multiple Distribution Generation Sources

  • Author

    AlHajri, M.F. ; El-Hawary, M.E.

  • fYear
    2007
  • fDate
    10-12 Oct. 2007
  • Firstpage
    295
  • Lastpage
    299
  • Abstract
    Installing Distribution Generation (DG) in the distribution level has positive impacts on the system voltage profile as well on the substations´ capacity. However the extent of such benefits depends greatly of the DG size and location. Heavily loaded systems need more than one DG to rectify the voltage profile and to achieve other DG promised benefits. In this paper the number of Distribution Generators (DGs) and their sizes are investigated thoroughly for installing single and multiple DGs. The optimal DG number and sizing are formulated as NonLinear Programming (NLP) problem subject to boundary restriction and nonlinear equality and inequality constraints imposed on the system. In this paper, a radial distribution case study comprises of 33-Bus is tested. A comparative study is performed to evaluate three DG situations. The original system with no DG added is evaluated first, then single and multiple DG installations are assessed later in this research.
  • Keywords
    distributed power generation; distribution networks; nonlinear programming; substations; NLP; distribution networks; multiple distribution generation sources; nonlinear equality; nonlinear inequality; nonlinear programming; substation capacity; system voltage profile; Electricity supply industry; Performance evaluation; Power generation; Power grids; Power transmission lines; Substations; Testing; Voltage; Wind energy generation; Wind turbines; DG optimal number; DG optimal sizing; Distribution generation; Nonlinear programming; Radial distribution system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, 2007 Large Engineering Systems Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-1583-0
  • Electronic_ISBN
    978-1-4244-1583-0
  • Type

    conf

  • DOI
    10.1109/LESCPE.2007.4437396
  • Filename
    4437396