• DocumentCode
    2222010
  • Title

    Assessing the performance of distribution lines based on data envelopment analysis

  • Author

    Zhang, T.F. ; Yuan, J.S. ; Li, X.Z.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    193
  • Lastpage
    197
  • Abstract
    This paper proposes a quantificational assessment method to explore the performance of distribution lines based on data envelopment analysis (DEA). In this method the input and output factors are set from the viewpoint of input-output and the utilization efficiency of these distribution lines is calculated and evaluated by DEA, and empirical results are: the utilization efficiency of these distribution lines, the gaps between realism and optimal conditions of inefficient lines, the population distribution of technical efficiency and redundant statistics of input factors. Based on these results, the decision-makers can adopt pertinent measures to improve distribution line situation, meanwhile these results can be used for reference of policy-making in distribution investments and tariff structure.
  • Keywords
    data envelopment analysis; decision making; decision theory; power distribution lines; DEA; data envelopment analysis; decision making; power distribution investment policy-making; power distribution line; quantificational performance assessment method; redundant statistics; tariff structure policy-making; Consumer electronics; Costs; Data envelopment analysis; Decision making; Investments; Libraries; Performance analysis; Power engineering and energy; Power generation; Power industry; Operational research; data envelopment analysis; power system; power transmission and distribution; the performance of distribution line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4737858
  • Filename
    4737858