• DocumentCode
    797573
  • Title

    Application of ESGA hybrid approach for voltage profile improvement by capacitor placement

  • Author

    Kim, Kyu-Ho ; Rhee, Sang-Bong ; Kim, Soo-Nam ; You, Seok-Ku

  • Author_Institution
    Dept. of Electr. Eng., Ansan Coll. of Technol., South Korea
  • Volume
    18
  • Issue
    4
  • fYear
    2003
  • Firstpage
    1516
  • Lastpage
    1522
  • Abstract
    This paper presents elite-based simplex-GA hybrid approach combined with multipop-GA (ESGA) to determining the location, size, and number of capacitors to improve voltage profile and minimize power losses in unbalanced distribution systems. One of the main obstacles in applying GA to complex problems has been the high computational cost due to their slow convergence rate. To alleviate this difficulty, ESGA hybrid approach was developed that combines elite-based simplex-GA hybrid approach with multipop-GA. The objective function formulated consists of two terms: cost for energy losses and cost related to capacitor purchase and capacitor installation. The cost function associated with capacitor placement is considered as a step function due to banks of standard discrete capacities. Its efficiency was proved through the application in IEEE 13-bus and 34-bus test systems and was compared with several methods using GA.
  • Keywords
    distribution networks; genetic algorithms; load flow; losses; power capacitors; ESGA hybrid approach; IEEE 13-bus test system; IEEE 34-bus test system; capacitor installation; capacitor placement; capacitor purchase; capacitors location; elite-based simplex-GA hybrid approach; energy losses costs; multipop-GA; power losses minimisation; slow convergence rate; three-phase power flow; unbalanced distribution systems; voltage profile improvement; Capacitors; Computational efficiency; Convergence; Cost function; Energy loss; Genetic algorithms; Master-slave; Sensitivity analysis; System testing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2003.817814
  • Filename
    1234713