• DocumentCode
    1569363
  • Title

    Monitoring of expected operating conditions of electric power systems on the basis of the modern cluster methods

  • Author

    Kurbatsky, Victor ; Tomin, Nikita

  • Author_Institution
    Power Syst. Dept., Energy Syst. Inst., Irkutsk, Russia
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper presents an intelligent approach to monitoring of the expected operating conditions on the basis of the self-organizing Kohonen maps and k-means method. The suggested approach makes it possible to effectively follow changes in the current and expected operating conditions and predict heavy load conditions and/or development of emergency conditions almost in real time.
  • Keywords
    power engineering computing; power system management; self-organising feature maps; cluster method; electric power system; k-mean method; operational management; self organizing Kohonen map; Artificial intelligence; Clustering algorithms; Data visualization; Monitoring; Power system stability; Transient analysis; cluster; expected operating conditions; monitoring; power system; the Kohonen maps; the k-means method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-8779-0
  • Type

    conf

  • DOI
    10.1109/EEEIC.2011.5874574
  • Filename
    5874574
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1569363