• DocumentCode
    1521703
  • Title

    Optimal Capacitor Placement and Sizing in Unbalanced Distribution Systems With Harmonics Consideration Using Particle Swarm Optimization

  • Author

    Eajal, Abdelsalam A. ; El-Hawary, M.E.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Altahadi, Sirt, Libya
  • Volume
    25
  • Issue
    3
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    1734
  • Lastpage
    1741
  • Abstract
    Shunt capacitors installation in distribution systems requires optimal placement and sizing. More harmonics are being injected into distribution systems. Adding shunt capacitors may lead to high distortion levels. The capacitor placement and sizing problem is a nonlinear integer optimization problem, with locations and ratings of shunt capacitors being discrete values. The goal is to minimize the overall cost of the total real power loss and that of shunt capacitors while satisfying operating and power quality constraints. This paper proposes to solve the problem using particle swarm optimization (PSO). A discrete version of PSO is combined with a radial distribution power flow algorithm (RDPF) to form a hybrid PSO algorithm (HPSO). The former is employed as a global optimizer to find the global optimal solution, while the latter is used to calculate the objective function and to verify bus voltage limits. To include the presence of harmonics, the developed HPSO was integrated with a harmonic power flow algorithm (HPF). The proposed (HPSO-HPF)-based approach is tested on an IEEE 13-bus radial distribution system (13-Bus-RDS). The findings clearly demonstrate the necessity of including harmonics in optimal capacitor placement and sizing to avoid any possible problems associated with harmonics.
  • Keywords
    Capacitors; Costs; Harmonic distortion; Load flow; Particle swarm optimization; Power generation; Power quality; Power system harmonics; System testing; Voltage; Harmonics; particle swarm; shunt capacitors;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2009.2035425
  • Filename
    5491374