• DocumentCode
    1166872
  • Title

    Description of an on-line decision-aid tool for generation-load balance control

  • Author

    Jourdin, P. ; Vintache, P. ; Heilbronn, B. ; Lagrange, V. ; Cartignies, E. ; Millot, P.

  • Author_Institution
    Electr. de France, Clamart, France
  • Volume
    9
  • Issue
    1
  • fYear
    1994
  • fDate
    2/1/1994 12:00:00 AM
  • Firstpage
    241
  • Lastpage
    247
  • Abstract
    This paper presents the preliminary results of a design study, carried out at the Research Center of Electricite de France, of an on-line decision aid tool for real-time operation. This tool attempts to provide operators with an aid for an on-line generation rescheduling, when disturbances occur in the generation-load balance. Using artificial intelligence techniques, a method has been developed (based on a design-aid mock-up) which combines a knowledge base, heuristic rules, and classical algorithms. The first results, issued from simulations on cases derived from actual operation, are very promising
  • Keywords
    digital simulation; knowledge based systems; load regulation; power engineering computing; power system computer control; Electricite de France; artificial intelligence; classical algorithms; frequency control; generation rescheduling; generation-load balance control; heuristic rules; knowledge base; on-line decision-aid tool; optimisation; power system operation; real-time operation; simulations; unit commitment; Artificial intelligence; Economic forecasting; Power generation economics; Power generation planning; Power system control; Power system economics; Power system planning; Power system simulation; Power systems; Safety;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.317605
  • Filename
    317605