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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005493
