• DocumentCode
    2731014
  • Title

    Transmission loss minimization using SVC based on Particle Swarm Optimization

  • Author

    Jumaat, Siti Amely ; Musirin, Ismail ; Othman, Muhammad Murtadha ; Mokhlis, Hazlie

  • Author_Institution
    Fac. of Electr. & Electron. Eng., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia
  • fYear
    2011
  • fDate
    25-28 Sept. 2011
  • Firstpage
    419
  • Lastpage
    424
  • Abstract
    This paper describes optimal sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is one of the artificial intelligent search approaches which has the potential to solve such a problem. For this study, static var compensator (SVC) is chosen as the compensation device. Validation through the implementation on the IEEE 26-bus system shows that the PSO is found feasible to achieve the task. The simulations results are compared with those obtained from the Bee Algorithm (BA) technique in the attempt to highlight its merit.
  • Keywords
    minimisation; particle swarm optimisation; power transmission; static VAr compensators; Bee algorithm; IEEE 26-bus system; artificial intelligent search; optimal sizing; particle swarm optimization; static var compensator; transmission loss minimization; Barium; Load management; Loading; Optimization; Propagation losses; Reactive power; Static VAr compensators; FACTS devices; minimization; optimal sizing; particle swarm optimization; static var compensator; transmission loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ISIEA), 2011 IEEE Symposium on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4577-1418-4
  • Type

    conf

  • DOI
    10.1109/ISIEA.2011.6108743
  • Filename
    6108743