• DocumentCode
    677205
  • Title

    Multi-objective using Artificial Bee Colony optimization for distributed generation placement on power system

  • Author

    Johan, Nur Fairuz Mohd ; Azmi, Azralmukmin ; Rashid, M.A. ; Yaakob, Shamsul Bahar ; Rahim, Siti Rafidah Abdul ; Zali, Samila Mat

  • Author_Institution
    Sch. of Electr. Syst. Eng., Univ. Malaysia Perlis, Arau, Malaysia
  • fYear
    2013
  • fDate
    Nov. 29 2013-Dec. 1 2013
  • Firstpage
    117
  • Lastpage
    121
  • Abstract
    This paper presents a multi-objective performance index based on the size and location of distributed generation (DG) in power system with difference preference of weightages. The placement and sizing of DG are selected optimally by technique of optimization. The technique of Artificial Bee Colony (ABC) algorithm has been studied to solve this problem. The algorithm is tested on standard IEEE 69 bus distribution system.
  • Keywords
    IEEE standards; ant colony optimisation; distributed power generation; IEEE 69 bus distribution system; artificial bee colony optimization technique; distributed generation placement; multiobjective performance index; power system; Annealing; Generators; IP networks; Indexes; Power systems; Silicon; Tin; Artificial Bee Colony algorithm; Distributed generation; Multi-objective optimization; Power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
  • Conference_Location
    Mindeb
  • Print_ISBN
    978-1-4799-1506-4
  • Type

    conf

  • DOI
    10.1109/ICCSCE.2013.6719943
  • Filename
    6719943