• DocumentCode
    1126566
  • Title

    Fast Reconfiguration of Distribution Systems Considering Loss Minimization

  • Author

    Schmidt, Hernán Prieto ; Ida, Nathan ; Kagan, Nelson ; Guaraldo, João Carlos

  • Author_Institution
    Escola Politecnica, Univ. de Sao Paulo, Brazil
  • Volume
    20
  • Issue
    3
  • fYear
    2005
  • Firstpage
    1311
  • Lastpage
    1319
  • Abstract
    This paper addresses the problem of finding the state of switching devices (open or closed) in primary distribution networks so that the total loss is minimum. Radiality and capacity constraints are taken into account. This optimization problem is a mixed-integer nonlinear optimization problem, in which the integer variables represent the state of the switches, and the continuous variables represent the current flowing through the branches. The standard Newton method (with second derivatives) is used to compute branch currents at each stage within the integer search, which, in turn, is implemented as a simple best-first search. Although a best-first search cannot normally guarantee the optimality of the solution, the high quality of the suboptimal solutions found, together with the high processing speed, make this approach very attractive for real-size distribution systems. Results from the application of the proposed methodology to a 1128-branch, 129-switch, real-world distribution system are presented and discussed.
  • Keywords
    Newton method; distribution networks; nonlinear equations; optimisation; loss minimization; mixed-integer nonlinear optimization problem; real-size distribution systems fast reconfiguration; standard Newton method; switching devices; Electric resistance; Genetic algorithms; Minimization methods; Newton method; Power distribution; Power quality; Switches; Loss minimization; power distribution; system reconfiguration;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2005.846180
  • Filename
    1490582