• DocumentCode
    3340292
  • Title

    Low-voltage distribution network planning taking account of power loss cost in genetic algorithms

  • Author

    Sugita, T. ; Iioka, D. ; Yokomizu, Y. ; Matsumura, T. ; Hatakeyama, N. ; Kuriyama, T. ; Ootaki, T.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Nagoya Univ.
  • fYear
    2005
  • fDate
    18-18 Nov. 2005
  • Lastpage
    5
  • Abstract
    This paper presents a new method to find the optimum design of low-voltage distribution network, solving a optimum location problem of pole transformers and low-voltage line for minimizing sum of the initial investment cost and 30 years power loss costs by means of genetic algorithms (GA). The construction of pole transformers and low-voltage lines are arranged under the requirement that the voltage distribution along the low-voltage line remains within a predetermined tolerance level. The results are compared with those derived other previous methods. It is found that minimizing power loss in the network is needed in order to minimize the total cost consisting of initial investment cost and power loss cost
  • Keywords
    genetic algorithms; power distribution planning; power transformers; genetic algorithms; low-voltage distribution network planning; optimum location problem; pole transformers; power loss cost; power loss maximization; Algorithm design and analysis; Cost function; Genetic algorithms; Intelligent networks; Investments; Power engineering computing; Power supplies; Telephony; Transformers; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Power Systems, 2005 International Conference on
  • Conference_Location
    Amsterdam
  • Print_ISBN
    90-78205-02-4
  • Type

    conf

  • DOI
    10.1109/FPS.2005.204304
  • Filename
    1600577