• DocumentCode
    132201
  • Title

    Smart grid concepts applied to self-healing in distribution system

  • Author

    Bernardon, D.P. ; Canha, Luciane N. ; Abaide, A.R. ; Garcia, V.J. ; Sperandio, M. ; Lopes, G.S.

  • Author_Institution
    Dept. of Power Syst., Fed. Univ. of Santa Maria-UFSM, Santa Maria, Brazil
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In contingency situation, the ability to self-healing plays an important role on reducing the time to restore the energy supply. The increasing use of remote controlled equipment in power systems leads the development of more efficient techniques for automatic restoration of power supply, being particularly important in Smart Grid applications. This paper presents a methodology and system for automatic restoration of power supply in distribution network. The optimization of the network performance is based on a heuristic method and multicriterial analysis. The developed algorithms are integrated into a supervisory system, which allows real-time measurements and commands to the equipment. The proposed methodology is tested in a real network of a power utility and results are presented and discussed.
  • Keywords
    distribution networks; smart power grids; automatic restoration; distribution network; distribution system; energy supply; heuristic method; multicriterial analysis; network performance; power supply restoration; power systems; real-time measurements; remote controlled equipment; smart grid applications; smart grid concepts; supervisory system; Control systems; Decision making; Indexes; Linear programming; Power supplies; Real-time systems; Smart grids; computer aided technology; distribution network; remote controlled switches; self-healing; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference (UPEC), 2014 49th International Universities
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4799-6556-4
  • Type

    conf

  • DOI
    10.1109/UPEC.2014.6934588
  • Filename
    6934588