• DocumentCode
    138819
  • Title

    DG sizing and DNR based on REPSO for power losses reduction

  • Author

    Sulaima, M.F. ; Napis, N.F. ; Nor, M.K.M. ; Dahalan, W.M. ; Mokhlis, H.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknikal Malaysia Melaka, Durian Tunggal, Malaysia
  • fYear
    2014
  • fDate
    24-25 March 2014
  • Firstpage
    99
  • Lastpage
    104
  • Abstract
    The detrimental of losses in network can be solved by using Distribution Network Reconfiguration (DNR) and sizing the Distribution Generation (DG) concurrently. In determining the optimal sizing of DG and identifying the switching operation plan for network reconfiguration, an optimization method which is called as Rank Evolutionary Particle Swarm (REPSO) will be introduced. The main objectives of this paper are to minimize the total power losses in a radial distribution network and to find the most accurate and acceptable size of DG. A comprehensive performance analysis will be carried out on IEEE-33 bus system to show the effectiveness of the REPSO over conventional PSO and hybridization EPSO method. The reliability of proposed method will hope to help the power system engineer in reducing the distribution feeder losses and improve system security in the future.
  • Keywords
    distributed power generation; distribution networks; particle swarm optimisation; power system security; DG sizing; DNR; IEEE-33 bus system; REPSO; distribution feeder losses; distribution generation; distribution network reconfiguration; power losses reduction; radial distribution network; rank evolutionary particle swarm; switching operation plan; system security; Conferences; Optimization; Particle swarm optimization; Power engineering; Power systems; Sociology; Statistics; Distribution Generation; Distribution Network Reconfiguration; Rank Evolutionary Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4799-2421-9
  • Type

    conf

  • DOI
    10.1109/PEOCO.2014.6814407
  • Filename
    6814407