• DocumentCode
    3147835
  • Title

    A hybrid artificial neural network/artificial intelligence approach for voltage stability enhancement

  • Author

    Vadari, Subramanian V. ; Venkata, S.S.

  • Author_Institution
    CEGELEC ESCA, Bellevue, WA, USA
  • fYear
    1991
  • fDate
    23-26 Jul 1991
  • Firstpage
    154
  • Lastpage
    160
  • Abstract
    Artificial Neural Networks (ANNs) and Artificial Intelligence (AI) methodologies are beginning to play a significant role in power systems research. A combination of ANN/AI methodologies can be forged into a formidable technique using the symbolic strengths of AI to aid the massively parallel and distributed processing models utilized by ANNs. The authors attempt to bring a philosophical perspective to this hybrid approach and examine it from different angles. Voltage stability enhancement is used as an example area and the ideas are being tested on it. The main objective is to promote discussion amongst the researchers and to investigate how this method can be used effectively
  • Keywords
    artificial intelligence; neural nets; power engineering computing; power system stability; hybrid artificial neural network/artificial intelligence; power systems; voltage stability enhancement; Artificial intelligence; Artificial neural networks; Expert systems; Hybrid power systems; Layout; Power system modeling; Power system security; Power system stability; Power systems; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0065-3
  • Type

    conf

  • DOI
    10.1109/ANN.1991.213514
  • Filename
    213514