• DocumentCode
    2642361
  • Title

    The application of the hybrid intelligent algorithm in distribution devices maintenance scheduling

  • Author

    Zhang, Jian-hua ; Cui, Shan-Shan ; Liu, Wen-Xia

  • Author_Institution
    Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2010
  • fDate
    19-22 April 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The scientific, rational and practical electrical devices maintenance scheduling are helpful to improve the stability of power system operation and reduce the network damage caused by the equipment repair. This paper presents a new optimal algorithm to electrical devices maintenance scheduling optimal model. It sufficiently combines the advantages of the complex method and the genetic algorithm and remedies the drawbacks of each algorithm. In the hybrid intelligent algorithm, the complex method is embedded in genetic algorithm, being treated as one operator of the genetic algorithm. The new algorithm not only has the characters of the easy convergence and the powerful local optimization of the complex method, but also has the features of the powerful global search of the genetic algorithm. The practical examples verify the correctness and the validity of the hybrid intelligent algorithm and the superiorities comparing to the genetic algorithm.
  • Keywords
    Convergence; Genetic algorithms; Heuristic algorithms; Hybrid power systems; Iterative algorithms; Maintenance; Power system modeling; Power system reliability; Power system stability; Scheduling algorithm; complex method; distribution networks; genetic algorithm; maintenance scheduling; power system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition, 2010 IEEE PES
  • Conference_Location
    New Orleans, LA, USA
  • Print_ISBN
    978-1-4244-6546-0
  • Type

    conf

  • DOI
    10.1109/TDC.2010.5484721
  • Filename
    5484721