• DocumentCode
    3451663
  • Title

    A Novel Genetic Algorithm Approach to Achieve Steady State Power Flow Solution

  • Author

    Kapse, Shilpa S. Shrawane ; Diagavane, M.B. ; Bawane, N.G.

  • Author_Institution
    Dept. of Electr. Eng., GHRCE, Nagpur, India
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    189
  • Lastpage
    190
  • Abstract
    Power flow is nothing but the flow of active and reactive power. To achieve the steady state operating condition of a power system, power flow analysis (PFA) is used. In short, it is to find the approximate values of P, Q, V and δ at various buses, lines flows, generators and loads under steady state condition. Heuristic methods are generally referred as experience based techniques for solving problem, learning and discovery. Heuristics are simple and efficient rules coded by evolutionary processes. In this paper, GA, genetic algorithm, one of such heuristic algorithms have been used to do the power flow analysis in a simple three bus system.
  • Keywords
    genetic algorithms; load flow; power systems; reactive power; PFA; evolutionary processes; experience based techniques; genetic algorithm approach; heuristic methods; power flow analysis; power system; reactive power flow; steady state operating condition; steady state power flow solution; three bus system; Genetic algorithms; Load flow analysis; Reactive power; Steady-state; Topology; Gauss Seidal Method; Genetic Algorithm; Power flow(PF); VAR support;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2013 6th International Conference on
  • Conference_Location
    Nagpur
  • Print_ISBN
    978-1-4799-2560-5
  • Type

    conf

  • DOI
    10.1109/ICETET.2013.53
  • Filename
    6754815