• DocumentCode
    3394560
  • Title

    Application of Ant-Genetic Algorithm in Reactive Power Optimization of Distribution Network

  • Author

    Zhao, Feng ; Ge, Lian ; Li, Wenxiang

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Lanzhou Jiaotong Univ., Lanzhou, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The voltage quality of distribution network can be advanced by reactive power optimization, and the active power loss also can be reduced effectively. In this paper, the reactive power optimization of power system and it´s objective function are both researched. An ant-genetic algorithm is given by using crossover and mutation operations of genetic algorithm into ant colony algorithm to generate new searching path which can not only remain genetic algorithm´s high quality of solution, but also have feature of parallel distribution of ant colony algorithm. An example is adopted to prove that the ant-genetic algorithm is effective, and it has fast convergence speed and fine global optimization ability.
  • Keywords
    ant colony optimisation; distribution networks; genetic algorithms; power supply quality; active power loss; ant-genetic algorithm; distribution network; reactive power optimization; voltage quality; Educational institutions; Genetic algorithms; Linear programming; Optimization; Reactive power; Sociology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307438
  • Filename
    6307438