• DocumentCode
    3394769
  • Title

    Skeleton-Network Reconfiguration Based on Node Importance and Line Optimization

  • Author

    Huang, Jin-kai ; Du, Liang ; Zhang, Guo-song

  • Author_Institution
    Sichuan Electr. Vocational & Tech. Coll., Chengdu, China
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In power system restoration process, power transmission network reconstruction problem is studied. Using a complex network related theory, putting forward a comprehensive consideration node importance and transmission lines optimization network reconfiguration method. This method considers the influence of shunt capacitance on node importance, realizes the weighted power transmission network reconfiguration, the index make both important node and Line Optimization realize, achieveing the whole optimization of the reconstruction network. The genetic algorithm method with characteristics of global optimization and handling the discrete variables easily and effectively is employed to solve this problem. Finally, IEEE39 test system is applied as benchmark to demonstrate the effectiveness and validity of the proposed method.
  • Keywords
    IEEE standards; genetic algorithms; power system restoration; power transmission lines; IEEE39 test system; complex network related theory; comprehensive consideration node importance; discrete variables; genetic algorithm method; global optimization characteristics; node importance; power system restoration process; power transmission network reconstruction problem; shunt capacitance; skeleton-network reconfiguration; transmission line optimization network reconfiguration method; weighted power transmission network reconfiguration; Algorithm design and analysis; Complex networks; Educational institutions; Genetic algorithms; Optimization; Reactive power;
  • 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.2012.6307449
  • Filename
    6307449