• DocumentCode
    2019804
  • Title

    Capacitor placement to minimize active loss in distribution systems using bio-inspired optimization

  • Author

    Antunes, Rui ; Gomes, Flavio V. ; Silva, Ivo C. ; Dias, B.H.

  • Author_Institution
    Electr. Eng. Dept., Fed. Univ. of Juiz de Fora, Juiz de Fora, Brazil
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the development of a hybrid optimization model to minimize active losses in distribution systems through capacitor placement and sizing. The proposed model uses relaxed objective values obtained by a continuous non-linear optimization of the discrete variables as a base of comparison to the Ant Colony optimization model. The objective is to evaluate the model ability to present good solutions with a reduced number of individuals in the search process. A brief result is presented, demonstrating the gain of the proposed methodology when compared to other studies.
  • Keywords
    ant colony optimisation; distribution networks; nonlinear programming; power capacitors; active loss; ant colony optimization model; bio-inspired optimization; capacitor placement; continuous nonlinear optimization; distribution systems; Ant colony optimization; Capacitors; Heuristic algorithms; Linear programming; Load flow; Optimization; Reactive power; Ant Colony Optimization; Capacitor Placement; Distribution System; Metaheuristics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652242
  • Filename
    6652242