• DocumentCode
    3032052
  • Title

    Adaptive PSO-DV Algorithm for Minimization of Power Loss and Voltage Instability

  • Author

    Vaisakh, K. ; Sridhar, M. ; Murthy, K. S Linga

  • Author_Institution
    Dept. of Electr. Eng., Andhra Univ., Visakhapatnam, India
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    140
  • Lastpage
    144
  • Abstract
    This paper presents an adaptive particle swarm optimization differentially perturbed velocity (APSO-DV) method for dealing with optimal reactive power dispatch aiming at power loss reduction. The optimum reactive power dispatch of power systems is to allocate reactive power control variables so that the objective function composed of power losses is minimized and the prescribed voltage limits are satisfied. The proposed method determines the optimum settings of reactive power control variables such as, generator excitation, tap changing transformers, and SVC that reduces the power loss, while maintaining the voltage stability. IEEE-30 bus test system from the literature is used to test the performance of the proposed method. Numerical results show that the proposed method is better than the methods reported in the literature.
  • Keywords
    particle swarm optimisation; reactive power control; voltage control; IEEE-30 bus test system; adaptive PSO-DV algorithm; differentially perturbed velocity; optimum reactive power dispatch; particle swarm optimization; power loss reduction; reactive power control variables; voltage stability; Minimization methods; Particle swarm optimization; Power generation; Power system control; Power systems; Reactive power; Reactive power control; System testing; Transformers; Voltage; L-index; PSO; adaptive PSO-DV; power loss reduction; reactive power dis+patch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
  • Conference_Location
    Trivandrum, Kerala
  • Print_ISBN
    978-1-4244-5321-4
  • Electronic_ISBN
    978-0-7695-3915-7
  • Type

    conf

  • DOI
    10.1109/ACT.2009.43
  • Filename
    5376800