• DocumentCode
    3623047
  • Title

    Probabilistic diagnosis of power system nodal voltages with ART2

  • Author

    H. Mori;N. Kanda

  • Author_Institution
    Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
  • fYear
    1993
  • fDate
    6/15/1905 12:00:00 AM
  • Firstpage
    177
  • Lastpage
    180
  • Abstract
    This paper proposes a new method for nodal voltage diagnosis in power systems using a self-organization artificial neural network. ART2 is utilized to classify power system conditions. A probability voltage security index is evaluated by the resulting classification. The proposed method is used for tracking the voltage profile continuously.
  • Keywords
    "Power systems","Voltage","Power system security","Power system stability","Artificial neural networks","Subspace constraints","Load flow","Pattern recognition","Nonlinear equations","Power system control"
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks to Power Systems, 1993. ANNPS ´93., Proceedings of the Second International Forum on Applications of
  • Print_ISBN
    0-7803-1217-1
  • Type

    conf

  • DOI
    10.1109/ANN.1993.264294
  • Filename
    264294
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3623047