DocumentCode :
2486828
Title :
Co-scheduling model and algorithm of the three Gorges-Gezhou dam based on GA
Author :
Wang, Xiaoping ; Qi, Huan ; Xiao, Henghui ; Zhang, Xiaopan
Author_Institution :
Key Lab. of Image Process. & Intell. Control, Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
3717
Lastpage :
3721
Abstract :
This paper provided a mathematic model for Three Gorges-Gezhou dam co-scheduling problems, based on full analysis of Three Gorges-Gezhou dampsilas actual needs, to maximize the total throughput of Three Gorges-Gezhou dam, to maximize the utilization ratio of shiplock area and minimize the total navigation shiplock waiting time under eight constraint conditions. Then a scheduling algorithm based on GA was pointed out. The Three Gorges south lock, Gezhou dam lock, the Three Gorges north lock were optimization searched separately in the GA algorithm. The scheduling results of the Three Gorges south lock were taken as the origin of the whole plan period, and also were taken as the basis of the Gezhou dam scheduling together with the ship applied information. The scheduling results of Gezhou dam were regarded as the basis of the Three Gorges north lock scheduling together with the ship applied information, so repeated, until the optimal scheduling results were given, or the most iterative step was reached. The applied result shows that making a period plan of two dam five lock only needs 2 minutes, and the plan is quite effective according to practical application.
Keywords :
dams; genetic algorithms; scheduling; GA; Gezhou dam scheduling; Three Gorges-Gezhou dam; coscheduling model; shiplock area; shiplock waiting time; Automation; Image processing; Intelligent control; Laboratories; Marine vehicles; Mathematical model; Mathematics; Optimal scheduling; Paper technology; Systems engineering and theory; co-scheduling; genetic algorithm; mathematical model; the three gorges-gezhou dam;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593521
Filename :
4593521
Link To Document :
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