• DocumentCode
    2675754
  • Title

    Optimum VAr sizing & allocation using particle swarm optimization

  • Author

    EL-Dib, Amgad A. ; Youssef, Hosam K M ; El-Metwally, M.M. ; Osman, Z.

  • Author_Institution
    Dept. of Electr. Power & Machines, Cairo Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    This paper proposes a new solution technique for finding the optimum location and sizing of the shunt compensation devices in transmission system. This problem is not important only for improving the voltage profile but also for increasing the stability margin and enhancing the voltage stability of the system. The problem can be formulated as an integer nonlinear optimization problem. The newly developed evolutionary technique particle swarm optimization (PSO) is used to solve this problem. Case studies with the Ward-Hale 6-bus, IEEE 14-bus and 30- bus systems are presented to illustrate the applicability of the algorithm
  • Keywords
    compensation; integer programming; nonlinear programming; particle swarm optimisation; power system stability; reactive power; transmission networks; 30- bus systems; IEEE 14-bus systems; VAr allocation; VAr sizing; Ward-Hale 6-bus systems; evolutionary technique; integer nonlinear optimization problem; particle swarm optimization; shunt compensation devices; stability margin; transmission system; voltage profile; voltage stability; Control systems; Jacobian matrices; Load flow; Particle swarm optimization; Power generation; Power system planning; Power system simulation; Power system stability; Reactive power; Voltage control; Optimum VAR Sizing & Allocation; PSO; Stability Margin; Transmission Systems; Voltage Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709102
  • Filename
    1709102