• DocumentCode
    2633923
  • Title

    Loading balance of main transformers and distribution feeders using the immune algorithm

  • Author

    Ho, Chin-Ying ; Lee, Tsung-En ; Lin, Chia-Hung

  • Author_Institution
    Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    432
  • Lastpage
    435
  • Abstract
    This paper examines the application of the immune algorithm for the problem of transformer and feeder loading balance. This algorithm prevents the possibility of stagnation in the iteration process and achieves the fast convergence for the global optimization. A Taipower distribution system with 12 main transformers and 68 feeders is selected for computer simulation to demonstrate the effectiveness of the proposed methodology for solving the optimal switching operation of distribution systems to enhance the loading balance of distribution feeders and transformers.
  • Keywords
    artificial immune systems; iterative methods; power distribution; power transformers; Taipower distribution system; distribution feeder loading balance; immune algorithm; iteration process; optimal switching operation; transformer loading balance; Conferences; Electrical engineering; Entropy; Load management; Loading; Optimization; Switches; Affinity; Entropy; Immune algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-8754-7
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/ICIEA.2011.5975622
  • Filename
    5975622