• DocumentCode
    1786831
  • Title

    Switch and tie lines allocation in distribution systems using NSGA II

  • Author

    Caetano, A.P.P.T. ; Pereira, K. ; Amorim, E.A. ; Carreno, E.M.

  • Author_Institution
    UNIOESTE-PGESDE, Foz do Iguaçu, Brazil
  • fYear
    2014
  • fDate
    12-14 Nov. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An optimization mathematical model to minimize the costs associated with energy not supplied and investments on the allocation of sectionalizing switches and tie lines between branches and / or feeders in primary distribution systems is presented. This is a mixed integer nonlinear programming model, which considers the power flow constraints and continuity indexes. A set of trade-off solutions between total cost of investments and network reliability is obtained using a multi-objective genetic algorithm (Non-Dominated Sorting Genetic Algorithm II - NSGA II. It is demonstrated that by considering these two elements at the same time, the results are better than when these elements are considered isolated on the mathematical models.
  • Keywords
    genetic algorithms; integer programming; investment; load flow; mathematical analysis; nonlinear programming; power distribution economics; power distribution reliability; NSGA II; continuity indexes; distribution systems; investments; mathematical models; mixed integer nonlinear programming model; multiobjective genetic algorithm; network reliability; nondominated sorting genetic algorithm II -; optimization mathematical model; power flow constraints; primary distribution systems; sectionalizing switch allocation; switch lines allocation; tie lines allocation; Adaptation models; Genetic algorithms; Indexes; Mathematical model; Resource management; Sorting; Switches; Allocation Switches; Distribution System; NSGA II; Reliability; Tie Lines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Central America and Panama Convention (CONCAPAN XXXIV), 2014 IEEE
  • Conference_Location
    Panama City
  • Type

    conf

  • DOI
    10.1109/CONCAPAN.2014.7000458
  • Filename
    7000458