DocumentCode :
1144781
Title :
Simulated annealing with local search-a hybrid algorithm for unit commitment
Author :
Purushothama, G.K. ; Jenkins, Lawrence
Author_Institution :
Dept. of Electr. Eng., Malnad Coll. of Eng., Karnataka, India
Volume :
18
Issue :
1
fYear :
2003
fDate :
2/1/2003 12:00:00 AM
Firstpage :
273
Lastpage :
278
Abstract :
A hybrid algorithm has been developed for the solution of the unit commitment problem. This hybrid technique uses simulated annealing as the main algorithm. At each temperature, fresh solutions are generated randomly, and with a high likelihood of being feasible. Local search is made in the neighborhood of the best solution, using a heuristic decommitment technique. The hybrid algorithm is robust and has improved convergence, compared with earlier algorithms. The results obtained in system studies indicate its potential for solving the unit commitment problem.
Keywords :
heuristic programming; power generation dispatch; power generation planning; power generation scheduling; search problems; simulated annealing; convergence; feasibility probability; generation scheduling; heuristic decommitment technique; hybrid unit commitment algorithm; local search; simulated annealing; Availability; Computational modeling; Constraint optimization; Costs; Fuels; Linear programming; Robustness; Simulated annealing; Spinning; Temperature;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2002.807069
Filename :
1178808
Link To Document :
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