• DocumentCode
    1696932
  • Title

    Research and application of maintenance schedule optimization based on intelligent algorithm

  • Author

    Liu Yongmei ; Meng Xiaoli ; Sheng Wanxing

  • Author_Institution
    China Electr. Power Res. Inst., Beijing, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    957
  • Lastpage
    961
  • Abstract
    According to the features of power system, a new mathematical model for distribution maintenance scheduling is proposed, which combines load path transfer and maintenance schedule time optimization problem. Network reconfiguration algorithm and genetic algorithm are used to solve load path transfer problem and maintenance schedule time optimization problem respectively. Due to the large number variables of the network reconfiguration, encoding with round line and feasible solution operator are adopted to decrease the searching space in the paper. The searching space is significantly reduced and the solution speed is raised. The proposed model and method are applied to IEEE33 test system, the result show that proposed method can obtain the most optimal maintenance schedule and the load transfer line with minimal network loss. The method observably reduces the power off lose which maintenance brings.
  • Keywords
    distribution networks; genetic algorithms; maintenance engineering; scheduling; IEEE33 test system; distribution maintenance scheduling; genetic algorithm; intelligent algorithm; load path transfer; load transfer line; maintenance schedule time optimization problem; network loss; network reconfiguration algorithm; searching space; Genetic algorithms; Load flow; Maintenance engineering; Optimization; Schedules; Switches; Maintenance schedule in power system; genetic algorithm; load transfer path; net reconfiguration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Power System Automation and Protection (APAP), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9622-8
  • Type

    conf

  • DOI
    10.1109/APAP.2011.6180537
  • Filename
    6180537