• DocumentCode
    3355504
  • Title

    Multi-Objective Evaluation for Distribution Network Basing on Hierarchical DEA

  • Author

    Wen-xia liu ; Li-Xin Zhang ; Jian-Hua Zhang ; Yong-Feng Fan

  • Author_Institution
    Electr. & Electron. Eng. Dept., North China Electr. Power Univ., Beijing
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Studying the optimal subsection of distribution networks feeders, a subsection scheme synthesizing load and the length of subsections is presented. Hierarchical data envelopment analysis (DEA) method is proposed for multi-objective evaluation of subsection schemes. First, the scientific assessment system is established by using the analytic hierarchy process (AHP) and the weights of assessment criteria are derived from the judgment matrix. Secondly, the actual index data is used to structure DEA model, the schemes are evaluated quantificational with regard to different assessment criteria. Finally, each scheme is evaluated comprehensively. Using this method and the evaluation system to evaluate the subsection schemes, the evaluation results show that the assessment method is scientific and effective; the subsection method presented in this paper can better meet the economic and reliability requirements and is simple and practical.
  • Keywords
    data envelopment analysis; power distribution reliability; analytic hierarchy process; data envelopment analysis method; distribution network multiobjective evaluation; distribution networks feeders; hierarchical DEA; reliability; subsection scheme synthesizing load; Cost function; Data envelopment analysis; Investments; Network synthesis; Power engineering and energy; Power generation economics; Power supplies; Power system economics; Power system reliability; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918506
  • Filename
    4918506