Title :
Practical approach to unit commitment problem using genetic algorithm and Lagrangian relaxation method
Author :
Ohta, T. ; Matsui, T. ; Takata, T. ; Kato, M. ; Aoyagi, M. ; Kunugi, M. ; Shimada, K. ; Nagata, J.
Author_Institution :
Chubu Electric Power Co. Inc., Nagoya, Japan
Abstract :
This paper presents a practical method of solving the power system unit commitment problem by using a genetic algorithm and the Lagrangian relaxation method, making use of the advantages of both. Moreover, the introduction of heuristics simplifies genetic string manipulations which improve computational efficiency. Numerical results have shown that the method is effective in solving the practical unit commitment problem
Keywords :
control system synthesis; genetic algorithms; load dispatching; load distribution; optimal control; power system control; relaxation theory; Lagrangian relaxation method; computational efficiency; control design; genetic algorithm; genetic string manipulations; heuristics; power system unit commitment; Costs; Economic forecasting; Fuels; Genetic algorithms; Lagrangian functions; Large-scale systems; Load flow; Optimal scheduling; Processor scheduling; Relaxation methods;
Conference_Titel :
Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3115-X
DOI :
10.1109/ISAP.1996.501112
