• DocumentCode
    88384
  • Title

    Application of Enhanced Honey-Bee Mating Optimization Algorithm to Fault Section Estimation in Power Systems

  • Author

    Shyh-Jier Huang ; Xian-Zong Liu ; Wei-Fu Su ; Ting-Chia Ou

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    28
  • Issue
    3
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    1944
  • Lastpage
    1951
  • Abstract
    An application of plant growth simulation algorithm-enhanced honey-bee mating optimization is proposed to solve the fault section estimation problem in a power system. This approach is proposed because the local search capability of the honey-bee mating optimization is highly dependent on the parameter decisions. An inappropriate selection of parameters may affect the computation efficiency. This paper hence has added the plant growth simulation algorithm to enhance the honey-bee mating optimization so that the work of external parameter settings can be economized while the overall computation can be improved. In order to validate the effectiveness of this method, we have conducted the approach on practical power systems. Test results confirm the feasibility of this proposed method for the application considered.
  • Keywords
    optimisation; power system faults; search problems; computation efήciency; enhanced honey-bee mating optimization algorithm; fault section estimation problem; parameter decisions; parameters selection; plant growth simulation algorithm; power systems; Computational modeling; Estimation; Optimization; Power systems; Protective relaying; Unmanned aerial vehicles; Fault section estimation; honey-bee mating optimization; plant growth simulation algorithm;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2013.2264142
  • Filename
    6523191