• DocumentCode
    1944569
  • Title

    Interactive Artificial Bee Colony based on distribution planning with renewable energy units

  • Author

    Abedinia, O. ; Barazandeh, E.S.

  • Author_Institution
    Islamic Azad Univ., Roodan, Iran
  • fYear
    2013
  • fDate
    24-27 Feb. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The Distributed Generation (DG) has created a challenge and an opportunity for developing various novel technologies in power generation. DG prepares a multitude of services to utilities and consumers, containing standby generation, peaks chopping sufficiency, base load generation. In this paper a planning paradigm for network upgrade based on Interactive Artificial Bee Colony (IABC) is proposed. The paradigm is able to select amongst several choices equi-cost that one assuring the optimum in terms of voltage profile, considering various scenarios of DG penetration and load demand. The proposed algorithm is applied over the 30 lines, 28 buses power system. The achieved results demonstrate the good efficiency of the DG using the proposed technique in different scenarios.
  • Keywords
    demand side management; distributed power generation; optimisation; power distribution planning; power generation planning; renewable energy sources; 30-lines 28-buses power system; DG efficiency; DG penetration; IABC; base load generation; distributed power generation; distribution planning; interactive artificial bee colony; load demand; network upgrade; peaks chopping sufficiency; renewable energy units; standby generation; voltage profile; Distributed power generation; Electricity; Equations; Mathematical model; Space heating; Water heating; Distribution Generation; IABC; Renewable Energy Units;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4673-4894-2
  • Electronic_ISBN
    978-1-4673-4895-9
  • Type

    conf

  • DOI
    10.1109/ISGT.2013.6497827
  • Filename
    6497827