• DocumentCode
    3708744
  • Title

    A genetic algorithm approach determining simultaneously location and capacity distributed generation in radial distribution system

  • Author

    Retno First Tyastuti;Nanang Hariyanto;Muhammad Nurdin; Khairudin;Mitani Yasunori

  • Author_Institution
    PT. PLN (Persero), Jakarta, Indonesia
  • fYear
    2015
  • Firstpage
    585
  • Lastpage
    589
  • Abstract
    Network reliability of distribution system is one of the key performance indices to be realized with many efforts. Installing Distribution Generation (DG) on radial distribution network closer to the customers is one of the efforts, which can improve the indices. This paper will present a GA method to determine the best location and capacity of DG placement with minimum power losses as an objective function to achieve optimum result. By DG placement in the network, except improve the voltage profile and power losses also the reliability indices such as SAIDI, SAIFI and EENS. Therefore the reliability will experience an improvement than before. For calculating and analyzing the reliability indices it uses ETAP 12.6 software which is separate analysis with determine the position and capacity optimization method. This concept will realize by simulating in the 132 bus radial distribution system and considering into two schemes, the base load scheme and full load scheme.
  • Keywords
    "Reliability","Power system reliability","Genetic algorithms","Biological cells","Sociology","Statistics","Interrupters"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Informatics (ICEEI), 2015 International Conference on
  • Print_ISBN
    978-1-4673-6778-3
  • Electronic_ISBN
    2155-6830
  • Type

    conf

  • DOI
    10.1109/ICEEI.2015.7352567
  • Filename
    7352567