• DocumentCode
    562976
  • Title

    Sizing and siting of Distribution Generator for different loads using firefly algorithm

  • Author

    Saravanamutthukumaran, S. ; Kumarappan, N.

  • Author_Institution
    Dept. of Electr. Eng., Annamalai Univ., Chidambaram, India
  • fYear
    2012
  • fDate
    30-31 March 2012
  • Firstpage
    800
  • Lastpage
    803
  • Abstract
    In deregulation of power system, Distribution Generation (DG) plays an important role in the present scenario. The increased power demand and to meet out the peak load demand in the distribution system, DGs are greatly utilized. By placing an optimal location with optimal size of DGs, the real and reactive power losses due to transmission are minimized and also peak load demand is appreciably shared by these DGs. The functions to find the optimal allocation of DG based on real and reactive power losses, line loading, voltage profile, short circuit level index and MVA (Mega Volt Ampere) intake by grid for different load models. Each load model have a significant impact on selecting size and location of the DG. The short circuit level index gives the information about the requirement of the protective devices for the system. For this optimization problem the Firefly Algorithm is chosen as a tool. The above objectives are effectively achieved by the proposed method with the multiobjective approach and tested on IEEE-38 bus node.
  • Keywords
    distributed power generation; losses; power generation protection; power grids; reactive power; DG optimal location; DG optimal size; IEEE-38 bus node; distribution generator; firefly algorithm; line loading; load models; mega volt ampere; optimization problem; peak load demand; power demand; power grid; power system deregulation; protective devices; reactive power loss; short circuit level index; voltage profile; Biological system modeling; Equations; Fires; Flowcharts; Indexes; Mathematical model; Propagation losses; Distributed Generations (DG); Distributed System; Firefly Algorithm; Multi-Objective Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
  • Conference_Location
    Nagapattinam, Tamil Nadu
  • Print_ISBN
    978-1-4673-0213-5
  • Type

    conf

  • Filename
    6216210