• DocumentCode
    1817651
  • Title

    New fuzzy multicriteria decision making algorithm to distribution network reconfiguration

  • Author

    Bernardon, D.P. ; Garcia, V.J. ; Ferreira, A. S Q ; Canha, L.N. ; Abaide, A.R.

  • fYear
    2009
  • fDate
    1-4 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Topological reconfiguration corresponds to an important tool for planning and operation of electric power distribution systems. Considering the distribution operation planning, how much time one algorithm gets an alternative topological status for the system is not a matter of importance, since the main objective assumed involves: power losses reduction, enhancing the voltage profile and increasing the reliability levels. In this challenge, multiple criteria might be used according to the utility purpose in observation of regulation policies and public awareness. Despite the complexity of this combinatorial issue in large systems, researchers are making an effort to find effective optimization methods since the classic ones do not represent a reasonable alternative. This work has been especially motivated by these assumptions, implying the developing of a new fuzzy multicriteria decision making algorithm and software to distribution network reconfiguration, aiming at the adequate processing of the information sources available at the utilities. The effectiveness of the proposed algorithm is demonstrated with case studies involving actual distribution systems.
  • Keywords
    decision making; fuzzy set theory; optimisation; power distribution planning; power distribution reliability; distribution network reconfiguration; electric power New distribution system planning; fuzzy multicriteria decision making algorithm; optimization methods; power losses reduction; voltage profile enhancement; Decision making; Fuzzy algorithms; multicriteria decision making; network reconfiguration; power losses; reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International
  • Conference_Location
    Glasgow
  • Print_ISBN
    978-1-4244-6823-2
  • Type

    conf

  • Filename
    5429363