• DocumentCode
    2352508
  • Title

    Optimal allocation and sizing of DGs in distribution networks

  • Author

    Ziari, I. ; Ledwich, G. ; Ghosh, A. ; Cornforth, David ; Wishart, M.

  • Author_Institution
    Sch. of Eng. Syst., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, the placement and sizing of Distributed Generators (DG) in distribution networks are determined using optimization. The objective is to minimize the loss and to improve the reliability at lowest cost. The constraints are the bus voltage, feeder current and the reactive power flowing back to the source side. The placement and size of DGs are optimized using a combination of Discrete Particle Swarm Optimization (DPSO) and Genetic Algorithm (GA). This increases the diversity of the optimizing variables in DPSO not to be trapped in a local minimum. To evaluate the proposed algorithm, the semi-urban 37-bus distribution system connected at bus 2 of the Roy Billinton Test System (RBTS), which is located at the secondary side of a 33/11 kV distribution substation, is used. The results illustrate the efficiency of the proposed method.
  • Keywords
    distributed power generation; genetic algorithms; particle swarm optimisation; power distribution reliability; substations; 37-bus distribution system; Roy Billinton test system; bus voltage; discrete particle swarm optimization; distributed generator sizing; distribution networks; distribution substation; feeder current; genetic algorithm; optimal allocation; optimization; reactive power flow; Distributed Generation; Distribution System; Optimization; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5588114
  • Filename
    5588114