• DocumentCode
    3078080
  • Title

    Optimization of distribution systems continuity indicators using immunological artificial algorithms

  • Author

    Araújo, R. J P ; Strauch, M.T. ; Kagan, N.

  • Author_Institution
    Consulte Energia, Salvador, Brazil
  • fYear
    2010
  • fDate
    8-10 Nov. 2010
  • Firstpage
    875
  • Lastpage
    882
  • Abstract
    With the issue of Normative Resolution n°024 of January 27, 2000, the National Agency of Electric Energy - ANEEL redesigned the rules in dealing with electricity supply continuity. One of the focal points is the ability of dealers to group consumers, considering its electrical characteristics, O & M system, and the possibility of avoiding unnecessary investments in networks, which overtax the electric energy bill. This paper attempts to combine the utility consumers in sets that minimize the risk of penalties and network investments. This problem is a partitioning problem, similar to the redistribution of voting districts in the U.S., known as “Political Districting”. In order to solve the combinatorial explosion problem resulting from the possible areas combinations and minimization of penalties, the model proposed in this paper uses evolutionary computation techniques.
  • Keywords
    combinatorial mathematics; evolutionary computation; power distribution economics; ANEEL; National Agency of Electric Energy; Normative Resolution n°024; combinatorial explosion problem; distribution system continuity indicators; electric energy bill; electricity supply continuity; evolutionary computation techniques; immunological artificial algorithms; network investments; partitioning problem; political districting; utility consumers; Distribution regulation; Optimization methods; Power distribution; Quality indices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition: Latin America (T&D-LA), 2010 IEEE/PES
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-1-4577-0488-8
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2010.5762987
  • Filename
    5762987