• DocumentCode
    2469024
  • Title

    Comparison between different multi-objective approaches to distribution network planning

  • Author

    Haji, Alireza ; Eini, Bahman Jamshidi ; Mirvazand, Morteza ; Safari, Majid

  • Author_Institution
    Sharif Univ. of Technol., Tehran, Iran
  • fYear
    213
  • fDate
    10-13 June 213
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Distribution companies try to meet different goals such as increasing profitability, reducing investment and improving reliability indices. Therefore, distribution network planning has converted into complex multi-objective optimization problems. Mathematicians and operation research experts have developed many methods which can be used for solving these problems. Despite all efforts to develop applicable approaches for these problems, there is still no general consensus on project selection policy. Evaluating the strengths and weaknesses of each network optimization strategy selection in pragmatic manner is the objective of current research. In this paper, many methods used in network planning and reconstruction were categorised into few groups such as weighed sum, pre-emptive and Chebyshev. After that, the results of using each method were compared. The result of this research corroborates the claim that the approach used for combining multi-objective distribution network problem objectives has great effect on its optimal result.
  • Keywords
    optimisation; power distribution planning; complex multiobjective optimization problems; distribution company; distribution network planning; investment reduction; multiobjective approach; multiobjective distribution network problem; project selection policy; reliability indices;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
  • Conference_Location
    Stockholm
  • Electronic_ISBN
    978-1-84919-732-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.0684
  • Filename
    6683287