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
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