• DocumentCode
    1122840
  • Title

    Optimal Connection of Power Transmission Lines With Underground Power Cables to Minimize Magnetic Flux Density Using Genetic Algorithms

  • Author

    Lai, Gordon G. ; Yang, Chien-feng ; Huang, Hunter M. ; Su, Ching-Tzong

  • Author_Institution
    Dept. of Electr. Eng., Chung Cheng Univ., Chiayi
  • Volume
    23
  • Issue
    3
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    1553
  • Lastpage
    1560
  • Abstract
    The purpose of this paper is to search for the optimal connection of power transmission lines with underground power cables for a newly constructed substation to reduce the magnetic flux density around it. The genetic algorithm method is employed for solving the problem of optimization mentioned above to get a best connection. With the optimal connection, the magnetic flux density can be reduced effectively without spending or utilizing extra time, manpower, and equipment.
  • Keywords
    genetic algorithms; power cables; power transmission lines; substations; underground cables; genetic algorithms; magnetic flux density; optimal connection; optimization; power transmission lines; substation; underground power cables; Connection; genetic algorithm; magnetic flux density; phase arrangement; substation; underground cable;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2008.919236
  • Filename
    4483695