• DocumentCode
    2540355
  • Title

    Optimal Planning of a Load Transfer Substation Pair between Two Normally Closed-Loop Feeders Considering Minimization of System Power Losses Using a Genetic Algorithm

  • Author

    Huang, Wei-Tzer ; Yao, Kai-Chao ; Chen, Shiuan-Tai ; Nien, Hsiau-Hsian ; Lin, Deng-Chung ; Huang, Po-Tung

  • Author_Institution
    Dept. of Electr. Eng., Chienkuo Technol. Univ., Changhua, Taiwan
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    453
  • Lastpage
    456
  • Abstract
    This paper proposes an effective approach for planning a load transfer substation pair(LTSP) between two normally closed-loop feeders considering minimization of system power losses. Firstly, the annual equivalent load of each load point is calculated. Then, a genetic algorithm-based (GA-Based) approach has been proposed to solve this optimization problem. The objective is minimization of the annual system power losses. Finally, the optimal LTSP was chosen considering minimizing annual system power losses and the maximum voltage drops at each bus as well as ampere capacities of each feeder segment. The method presents in this paper are valuable to distribution engineers for planning the LTSPs between normally closed-loop feeders.
  • Keywords
    genetic algorithms; load distribution; power distribution planning; substations; ampere capacity; annual equivalent load; annual system power loss minimization; distribution engineer; genetic algorithm; load transfer substation pair planning; normally closed-loop feeder; Circuit breakers; Circuit faults; Cities and towns; Mathematical model; Optimization; Planning; Substations; distribution feeder; distribution substation; genetic algorithm; normally closed-loop feeder; power losses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-8891-9
  • Electronic_ISBN
    978-0-7695-4281-2
  • Type

    conf

  • DOI
    10.1109/ICGEC.2010.119
  • Filename
    5715467