Title :
State of the arts of the modern heuristics application to power systems
Author_Institution :
Ibaraki Univ., Hitachi, Japan
Abstract :
In this paper, the application techniques of such modern heuristics methods as genetic algorithm, simulated annealing, tabu search, etc. to power systems operation and planning which are published in IEEE PES Transactions between 1990 and 1999 are systematically surveyed, and the state of the art of these techniques are outlined
Keywords :
genetic algorithms; power system planning; simulated annealing; IEEE PES Transactions; genetic algorithm; heuristics application; power systems operation; power systems planning; simulated annealing; state of the art; tabu search; Artificial neural networks; Computational modeling; Expert systems; Load forecasting; Power engineering and energy; Power system planning; Power system simulation; Power systems; Reactive power; Subspace constraints;
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
DOI :
10.1109/PESW.2000.850129
