• DocumentCode
    1362111
  • Title

    Design of Adaptive Autoreclosure Schemes for 132 kV With High Penetration of Wind—Part II: Real-Time Development and Testing

  • Author

    Le Blond, Simon P. ; Aggarwal, Raj

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath, UK
  • Volume
    27
  • Issue
    3
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1063
  • Lastpage
    1070
  • Abstract
    Following part 1, this paper describes the development and real-time testing of an adaptive autoreclosing scheme for a 132-kV system with high penetration of wind generation. Having previously established the real-time system model, this second part concentrates on the hardware and software tools used to build the relay development platform, the algorithm itself, and the testing of this algorithm. A results section documents tests of the neural-network-based algorithm and is shown to be 100% reliable. Further successful tests on a 400-kV system suggest that the algorithm is robust to other system configurations.
  • Keywords
    neural nets; wind power plants; adaptive autoreclosing scheme; neural-network-based algorithm; real-time development; real-time testing; voltage 132 kV; voltage 400 kV; wind generation penetration; Artificial neural networks; Circuit faults; Real time systems; Resistance; Robustness; Transient analysis; Adaptive reclosing; power system protection; real-time simulation; transmission lines; wind generation;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2011.2168571
  • Filename
    6060939