• DocumentCode
    3031502
  • Title

    Use of artificial neural networks in a dispatcher training simulator for power system dynamic security assessment

  • Author

    Aggoune, Mohamed E. ; Vadari, Subramanian V.

  • Author_Institution
    Dept. of Electr. Eng., Florida Int. Univ., Miami, FL, USA
  • fYear
    1990
  • fDate
    4-7 Nov 1990
  • Firstpage
    233
  • Lastpage
    238
  • Abstract
    Preliminary results on using artificial neural networks (ANNs) as a dispatcher´s aid for power system dynamic security assessment are presented. Dynamic security assessment is explained, and a brief introduction to ANNs is given. The ANN-based dispatcher training simulator is then described, and results for a 39-bus test system are given. It is found that the ANN is able to properly estimate the postfault state and accurately predict the security status of the power system. In general, the ANN results are in close agreement with those obtained by simulation
  • Keywords
    computer aided instruction; load dispatching; neural nets; power system analysis computing; simulation; training; dispatcher training simulator; load dispatching; neural networks; post fault state estimation; power engineering computing; power system dynamic security assessment; security status prediction; Artificial neural networks; Frequency; Intelligent networks; Power generation; Power system analysis computing; Power system dynamics; Power system security; Power system simulation; Power system transients; Power transmission lines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    0-87942-597-0
  • Type

    conf

  • DOI
    10.1109/ICSMC.1990.142099
  • Filename
    142099