DocumentCode
1645756
Title
Refined simulated annealing method for solving unit commitment problem
Author
Rajan, C. Christober Asir ; Mohan, M.R. ; Manivannan, K.
Author_Institution
Pondicherry Eng. Coll., India
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
333
Lastpage
338
Abstract
The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints with temperature and demand as control parameter. Neyveli Thermal Power Station - II in India, demonstrates the effectiveness of the proposed approach
Keywords
minimisation; power generation scheduling; power station control; simulated annealing; thermal power stations; India; Neyveli Thermal Power Station II; generation scheduling; power demand; power systems; refined simulated annealing method; temperature; total operating cost minimization; unit commitment problem; Artificial neural networks; Costs; Educational institutions; Equations; Power generation; Power system security; Power system simulation; Simulated annealing; Spinning; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1005493
Filename
1005493
Link To Document