• DocumentCode
    2760486
  • Title

    Development of an alert system for abnormal systemic conditions

  • Author

    Mouta, L.E.S. ; Curi, M. ; Nogueira, M.M. ; Plena, T. ; Aredes, Mauricio ; N´Diaye, M.S.

  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    790
  • Lastpage
    795
  • Abstract
    This paper presents the development of an alert system that detects abnormal system conditions for the Power Transmissioner Porto Primavera (PPTE) substations. This routine enables the PPTE operators to have a pro-active position during Brazilian National Interconnected System (SIN) disturbances, providing information that describes the types of some known contingencies when it occurs, even if the event is external to PPTE system. The system is based on Artificial Neural Network (ANN), trained from some SIN´s disturbances simulations results. The ANN inputs are buses PPTE net voltage, current and frequency.
  • Keywords
    neural nets; power engineering computing; power system faults; power system interconnection; substation protection; Brazilian National Interconnected System disturbances; PPTE operators; Power Transmissioner Porto Primavera substations; abnormal systemic conditions; alert system; artificial neural network; pro-active position; Artificial neural networks; Biological neural networks; Neurons; Power transmission lines; Simulation; Training; Transmission line measurements; Artificial Neural Network; Disturbances Analysis; Supervision System; Support to Operation in Real Time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2011 IEEE International Symposium on
  • Conference_Location
    Gdansk
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-9310-4
  • Electronic_ISBN
    Pending
  • Type

    conf

  • DOI
    10.1109/ISIE.2011.5984259
  • Filename
    5984259