• DocumentCode
    1700356
  • Title

    Power system reactive power optimization based on the Immune Ant Colony Algorithm

  • Author

    Cao, An-zhao ; Xia, Xin-yun ; Li, Ling-chun

  • Author_Institution
    Manage Eng. Dept., Anhui Univ. of Technol. & Sci., Wuhu, China
  • fYear
    2010
  • Firstpage
    4702
  • Lastpage
    4705
  • Abstract
    This paper presents an algorithm for optimizing reactive power using Immune Ant Colony Algorithm. The hybrid algorithm uses IA to give pheromone to distribute and makes use of improved ACA to give the optimal solution. This algorithm has been applied to IEEE 30 system and shows better results and convergence rate as compared to IA and ACA and other methods.
  • Keywords
    power system simulation; reactive power; ACA; IEEE 30 system; power system reactive power optimization immune ant colony algorithm; Bismuth; Convergence; Electronic mail; Optimization; Programming; Reactive power; Ant Colony Algorithm (ACA); Immune Algorithm (IA); Immune Ant Colony Algorithm (IACA); Reactive Power Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554934
  • Filename
    5554934
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1700356