• DocumentCode
    1348172
  • Title

    A graph search algorithm for optimal placement of fixed and switched capacitors on radial distribution systems

  • Author

    Carlisle, J.C. ; El-Keib, A.A.

  • Author_Institution
    Alabama Power Co., Birmingham, AL, USA
  • Volume
    15
  • Issue
    1
  • fYear
    2000
  • fDate
    1/1/2000 12:00:00 AM
  • Firstpage
    423
  • Lastpage
    428
  • Abstract
    Proper placement of fixed and switched shunt capacitors on primary distribution feeders reduces power and energy losses, increases the available capacity of the feeders and improves the feeder voltage profile. This paper presents a practical solution technique to the capacitor placement problem that is easy to implement. The proposed approach uses a graph search algorithm. The method has been tested along with other methods on existing feeders using actual data. Test results indicate that the proposed approach is well suited to the problem and determines a near-optimal solution. The method can handle standard capacitor sizes and associated costs, and the resulting nondifferentiable objective function, with ease. It can also determine the type of capacitors to be installed, and the switching times of the switched ones. The algorithm is currently being used for placement of shunt capacitors on distribution systems of a large electric utility
  • Keywords
    graph theory; optimisation; power capacitors; power distribution planning; search problems; electric utility; feeder voltage profile; graph search algorithm; nondifferentiable objective function; optimal capacitor placement; primary distribution feeders; radial distribution systems; shunt capacitors; switched capacitors; switching times; Capacitors; Cost function; Energy loss; Equations; Genetic algorithms; Power industry; Shunt (electrical); Simulated annealing; Testing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.847284
  • Filename
    847284