• DocumentCode
    2447537
  • Title

    Development of adaptive autoreclosure algorithm in transmission lines

  • Author

    Heo, Jeong-Yong ; Kim, Chul-Hwan ; Aggarwal, Raj K.

  • Author_Institution
    Sungkyunkwan University, Korea
  • fYear
    2012
  • fDate
    23-26 April 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Autoreclosure provides a means of improving power transmitting ability and system stability. The conventional reclosure adopts the fixed dead time interval strategy, that is, the reclosure is activated after a time delay to restore the system to normal as quickly as possible without regard to the system conditions; however, these simple techniques cannot give the optimal operating performance. For this reason, various adaptive reclosure algorithms have been proposed until now. The variable dead time control algorithm is able to ascertain the secondary arc extinction time and distinguish a permanent fault from a transient fault using the voltage waveform. The optimal reclosing instant is the time when the transient energy of the post-reclosing system is minimum; a transient stability is maintained when reclosure is carried out at the optimal reclosing time. This paper presents an adaptive autoreclosure algorithm including the variable dead time and optimal reclosure. The reclosure algorithm performs the operations that are attuned to the power system conditions. The proposed adaptive reclosure algorithm is verified and tested using ATP/EMTP MODELS, and the simulation results show that the system oscillations are reduced by employing the proposed adaptive reclosure algorithm.
  • Keywords
    Circuit faults; Generators; Power system stability; Relays; Stability analysis; Transient analysis; EMTP/MODELS; optimal reclosing time; secondary arc; transient stability; variable dead time;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Developments in Power Systems Protection, 2012. DPSP 2012. 11th International Conference on
  • Conference_Location
    Birmingham, UK
  • Print_ISBN
    978-1-84919-620-8
  • Type

    conf

  • DOI
    10.1049/cp.2012.0098
  • Filename
    6227586