• DocumentCode
    1719409
  • Title

    Optimal location of pilot buses by a Genetic Algorithm approach for a coordinated voltage control in distribution systems

  • Author

    Richardot, O. ; Bésanger, Y. ; Radu, D. ; Hadjsaid, N.

  • Author_Institution
    Grenoble Electr. Eng. Lab. (G2Elab), St. Martin d´´Heres, France
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Large scale integration of distributed generation in distribution networks causes voltage quality problems, but also may be able to provide means to solve theses problems if correctly controlled. A possible way to take advantage of distributed generation is to use it to perform a coordinated voltage control that would maintain voltage to its set-point value at the substation and some other specific nodes called pilot buses. This paper proposes a method for optimal location of these pilot buses in order to ensure the coordinated voltage control performances. For this purpose, we developed a hybrid software based on GAs (genetic algorithms). The proposed procedures are successfully tested on a typical distribution network with distributed generation units for several numbers of pilot buses.
  • Keywords
    distributed power generation; genetic algorithms; power distribution control; substations; voltage control; coordinated voltage control; distributed generation; distribution networks; genetic algorithm approach; large-scale integration; optimal pilot bus location; substation; voltage quality problems; Automatic generation control; Automatic voltage control; Distributed control; Genetic algorithms; Optimization methods; Power system reliability; Power systems; Reactive power; Static VAr compensators; Voltage control; ancillary services; distribution system; genetic algorithm; voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5281978
  • Filename
    5281978