• DocumentCode
    3508810
  • Title

    Distribution systems copper and iron loss minimization by genetic algorithm

  • Author

    Nara, Koichi ; Kitagawa, Minoru

  • Author_Institution
    Ibaraki Univ., Japan
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    151
  • Lastpage
    156
  • Abstract
    This paper proposes a new GA method to minimize distribution system losses including power transformer iron loss. Since the transformer iron loss is approximately proportional to the square of a transformer´s primary voltage, one can minimize the sum of transformer iron loss and line resistive loss by adjusting line voltages and line currents appropriately. Since the problem is formulated as a complex combinatorial optimization problem, it is solved by applying a genetic algorithm (GA) in this paper. Several numerical examples are shown to demonstrate the proposed method.
  • Keywords
    combinatorial mathematics; digital simulation; distribution networks; genetic algorithms; losses; minimisation; power system analysis computing; power transformers; combinatorial optimization problem; copper losses; digital simulation; distribution system; genetic algorithm; iron loss; line resistive loss; minimization; power system analysis computing; power transformer; Copper; Genetic algorithms; Iron; Large-scale systems; Minimization methods; Power transmission; Propagation losses; Quadratic programming; Simulated annealing; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
  • Conference_Location
    Yokohama, Japan
  • Print_ISBN
    0-7803-1217-1
  • Type

    conf

  • DOI
    10.1109/ANN.1993.264298
  • Filename
    264298