• DocumentCode
    7836
  • Title

    Application of Hybrid Firefly Algorithm for Sheath Loss Reduction of Underground Transmission Systems

  • Author

    Shyh-Jier Huang ; Xian-Zong Liu ; Wei-Fu Su ; Shu-Hsuan Yang

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    28
  • Issue
    4
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    2085
  • Lastpage
    2092
  • Abstract
    This paper proposes a hybrid firefly algorithm (HFA) to assist in decision-making for reactor arrangement in underground cable transmission systems. The HFA method is proposed based on the analysis of phototaxis behavior of fireflies, and enables solving the optimization problem effectively. In this study, by formulating high relationships among connected reactors, sheath loss, and induced voltage, the HFA method is employed to determine the appropriate reactor placement in an underground transmission systems. Through the tests made on different transmission lines along with the results compared to other methods, the proposed approach provides satisfactory decision support for reactor placement and serves as a beneficial reference for underground transmission planning and design.
  • Keywords
    decision making; decision support systems; losses; optimisation; power cables; power transmission planning; reactors (electric); underground cables; underground transmission systems; HFA; decision support; decision-making; hybrid fireiy algorithm; optimization problem; phototaxis behavior analysis; reactor arrangement; reactor placement; sheath loss reduction; underground cable transmission planning system; Algorithm design and analysis; Cable shielding; Optimization; Power system reliability; Random processes; Underground power cables; Firefly algorithm; reactor placement; sheath loss; underground cable;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2013.2265913
  • Filename
    6599005