• DocumentCode
    562864
  • Title

    Application of particle swarm optimization technique for reactive power optimization

  • Author

    Sharma, Nachieketa K. ; Suresh Babu, D. ; Choube, S.C.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., UIT-RGPV, Bhopal, India
  • fYear
    2012
  • fDate
    30-31 March 2012
  • Firstpage
    88
  • Lastpage
    93
  • Abstract
    Power system operators/planners are always faced with the problem of how to minimize the transmission losses. Reactive power plays an important role in supporting the real power transfer by maintaining voltage stability and system reliability. The optimal reactive power dispatch problem is a nonlinear optimization problem with several constraints. This paper presents a new algorithm for optimizing reactive power using Particle Swarm Algorithm. The objective function of the proposed algorithm is to minimize the system active power loss. The control variables are generator bus voltages, transformer tap positions and switch-able shunt capacitor banks. The proposed algorithm has been applied to practical IEEE 6-bus system. The proposed algorithm shows better results as compared to previous work.
  • Keywords
    capacitors; particle swarm optimisation; power system reliability; power system stability; reactive power control; transformers; IEEE 6-bus system; generator bus voltages; nonlinear optimization problem; optimal reactive power dispatch problem; particle swarm optimization technique; power system operator-planners; reactive power optimization; switch-able shunt capacitor banks; system active power loss; system reliability; transformer tap positions; transmission losses; voltage stability; Algorithm design and analysis; Reactive power; Reliability; partical swarm optimization; reactive var; real power loss;
  • 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
    6216097