• DocumentCode
    473607
  • Title

    Optimum allocation of generation for maximum loadability limit of power system using Multiagent Based Particle Swarm Optimization (MAPSO)

  • Author

    Shunmugalatha, A. ; Slochanal, S. Mary Raja

  • Author_Institution
    Electr. & Electron. Eng. Dept., K.L.N Coll. of Eng., Pottapalayam
  • fYear
    2007
  • fDate
    3-6 Dec. 2007
  • Firstpage
    1349
  • Lastpage
    1354
  • Abstract
    The problem of voltage stability is one of the main concerns in the operation of power systems. There are different approaches to estimate the voltage stability of the systems. Estimating the maximum loadability limit of power systems is one of the approaches. Maximum loadability limit is the margin between the operating point of the system and the maximum loading point. The optimum allocation of generation for maximum loadability limit of power system can be formulated as an optimization problem. The problem consists of two steps namely finding maximum loadability limit of power system and optimum cost of generation for the same. This paper utilizes the newly developed Evolutionary Multiagent Based Particle Swarm Optimization (MAPSO) in solving this optimization problem. Details of the implementation of the proposed method to IEEE- 30 bus system and IEEE-57 bus system are presented. Simulation results show that the proposed approach converges to better solution much faster, which prove the loadability and applicability of the proposed method.
  • Keywords
    load dispatching; multi-agent systems; particle swarm optimisation; power engineering computing; power system economics; power system stability; IEEE- 30 bus system; IEEE-57 bus system; maximum loadability limit; multiagent based particle swarm optimization; optimum generation allocation; voltage stability; Particle swarm optimization; Power engineering; Power generation; Power systems; economic load dispatch; maximum loadability limit; multiagent system; particle swarm optimization and voltage stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2007. IPEC 2007. International
  • Conference_Location
    Singapore
  • Print_ISBN
    978-981-05-9423-7
  • Type

    conf

  • Filename
    4510236