• DocumentCode
    3085334
  • Title

    Improvement of voltage sags indices by applying a reconfiguration technique based on genetic algorithms

  • Author

    Espinosa-Juarez, Elisa ; Lucio, J.

  • Author_Institution
    Electr. Eng. Fac., Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
  • fYear
    2012
  • fDate
    26-28 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an application of genetic algorithms to the improvement of voltage sags indices by reconfiguration of an electrical system. Considering known reference indices of voltage sags at system buses, the proposed methodology leads to a new configuration where the buses with previous indices of voltage sags outside the range of the reference values are reduced in order to minimize these values. In this paper, in order to streamline the solution process the Genetic Algorithm Matlab Toolbox® was used to solve the formulated optimization problem. The performance of the proposed methodology is assessed by means of case studies applied in the IEEE 24-bus Reliability Test System and in the IEEE 118-bus Test System.
  • Keywords
    genetic algorithms; power supply quality; power system reliability; IEEE 118-bus test system; IEEE 24-bus reliability test system; Matlab Toolbox; electrical system reconfiguration; formulated optimization problem; genetic algorithms; reference indices; reference values; system buses; voltage sags indices; Genetic algorithms; Power quality; Sociology; System buses; Threshold voltage; Topology; Voltage fluctuations; Voltage sags (dips); genetic algorithms; power quality; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering, Computing Science and Automatic Control (CCE), 2012 9th International Conference on
  • Conference_Location
    Mexico City
  • Print_ISBN
    978-1-4673-2170-9
  • Type

    conf

  • DOI
    10.1109/ICEEE.2012.6421139
  • Filename
    6421139