• DocumentCode
    1269116
  • Title

    Electric field optimization design of a vacuum interrupter based on the Tabu search algorithm

  • Author

    Cao, Yundong ; Liu, Xiaoming ; Wang, ErZhi ; Jin, Li ; Wang, Guang

  • Author_Institution
    Coll. of Electr. Eng., Shenyang Univ. of Technol., China
  • Volume
    9
  • Issue
    2
  • fYear
    2002
  • fDate
    4/1/2002 12:00:00 AM
  • Firstpage
    169
  • Lastpage
    172
  • Abstract
    During interruption in the vacuum interrupter, the re-ignition between the contact and the shield is influenced by the shape of the contact and size of the shield. The design of the contact and the shield is an intricate optimization problem. In this paper, the Tabu search algorithm is applied to optimize the contacts of a 35 kV vacuum interrupter. The optimization design is based on electric field computation using the finite element method. By solving the inverse problem, the optimization of the contacts is achieved, and a reasonable distribution of the electric field is obtained. Based on the combinatorial optimization Tabu search algorithm, an improved universal algorithm for continuous variables global optimization is proposed.
  • Keywords
    electric fields; finite element analysis; inverse problems; optimisation; power engineering computing; search problems; vacuum interrupters; 35 kV; Tabu search algorithm; combinatorial optimization; contact optimization; contact shape; contact shield re-ignition; continuous variables global optimization; electric field computation; electric field distribution; electric field optimization design; finite element method; inverse problem; shield size; universal algorithm; vacuum interrupter; Algorithm design and analysis; Artificial intelligence; Contacts; Design optimization; Educational institutions; Heuristic algorithms; Interrupters; Inverse problems; Iterative algorithms; Space technology;
  • fLanguage
    English
  • Journal_Title
    Dielectrics and Electrical Insulation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1070-9878
  • Type

    jour

  • DOI
    10.1109/94.993730
  • Filename
    993730