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
fDate :
2/1/1994 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on