• DocumentCode
    144495
  • Title

    Evolutionary Computing Techniques for Optimal Reactive Power Dispatch: An Overview and Key Issues

  • Author

    Sharma, Toshi ; Srivastava, L.

  • Author_Institution
    Dept. of Electr. Eng., Madhav Inst. of Technol. & Sci., Gwalior, India
  • fYear
    2014
  • fDate
    7-9 April 2014
  • Firstpage
    507
  • Lastpage
    511
  • Abstract
    Optimal reactive power dispatch (ORPD) is carried out to reduce losses, to improve the voltage profile and voltage stability in a power system. In recent years, several evolutionary computing based optimization techniques to solve optimal reactive power dispatch problem has been proposed. These techniques include genetic algorithm (GA), artificial bee colony (ABC), particle swarm optimization (PSO) and differential evolution (DE) etc. The ORPD problem has been solved as a single objective as well as multi-objective optimization problem using these techniques. This paper presents a brief literature review of the work carried out by the various researchers in this field by using evolutionary computing based techniques.
  • Keywords
    genetic algorithms; particle swarm optimisation; power generation dispatch; power system stability; reactive power; ABC; ORPD; PSO; artificial bee colony; differential evolution; evolutionary computing techniques; genetic algorithm; multiobjective optimization problem; optimal reactive power dispatch; particle swarm optimization; power system; voltage profile; voltage stability; Genetic algorithms; Optimization; Particle swarm optimization; Power system stability; Reactive power; Stability criteria; Optimal reactive power dispatch; Single objective optimization problem; and Multi objective optimization problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4799-3069-2
  • Type

    conf

  • DOI
    10.1109/CSNT.2014.107
  • Filename
    6821448