• DocumentCode
    2605610
  • Title

    Optimal subsection of distribution network feeders based on value engineering

  • Author

    Liu, Wenxia ; Yang, Xu ; Ye, Meng ; Zhang, Jianhua

  • Author_Institution
    Dept. of Inf., North China Electr. Power Univ., Beijing, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Installing subsection switches on distribution network feeders is an effective measure to improve system reliability. In this paper, based on value engineering, a new method is presented to determine optimal subsection scheme. By application of value engineering theory, a new objective function is constructed. The new objective function, based on cost-benefit analysis, is constructed by reference to theory of value, function and cost in value engineering. The new objective function could more clearly reflect the value relationship between improved reliability and increased input costs. This proposed method not only broadens the applicable scope of value engineering, but also makes better combination of reliability and economy. Finally, the proposed method has been tested on the IEEE RBTS-2 bus system. Test results indicate that solution solved by the improved function is more superior to that of the original objective function, which has proved effectiveness and scientific of this new method.
  • Keywords
    power distribution reliability; value engineering; IEEE RBTS-2 bus system; distribution network feeders; optimal subsection scheme; system reliability; value engineering theory; Cost benefit analysis; Cost function; Genetic algorithms; Power engineering and energy; Power generation economics; Power supplies; Power system management; Power system reliability; Reliability engineering; Switches; Cost-benefit; Distribution Network; Genetic Algorithm; Optimal section; Value Engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348334
  • Filename
    5348334