DocumentCode :
2295801
Title :
Online strategy for scheduling a hydroelectric station
Author :
Ru, Hai ; Gao, Feng ; Guan, Xiaohong ; Zheng, Feifeng
Author_Institution :
State Key Lab. for Manuf. Syst. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
2479
Lastpage :
2484
Abstract :
The scheduling problem of reservoir hydroelectric station during the flood season caused major concern in academia and industry many years. Due to the uncertainty of flood, the schedule strategy should guarantee the enough flood prevention capacity of hydroelectric, meanwhile, a certain water head should also be kept in order to guarantee the power generation efficiency. Therefore, it´s a challenging to design the strategy of optimal scheduling for hydroelectric in flood season. This paper in response to this objective, online algorithm will be applied here to analysis optimal strategy, which manages the reservoir scheduling in terms of online strategy and competitive analysis. Then the evidence from Ankang reservoir are collected to test the competitive ratio of online strategy. The result and model of the study in this paper have guiding significance and reference value to decision makers facing the similar situation.
Keywords :
decision making; floods; hydroelectric power stations; power generation scheduling; reservoirs; Ankang reservoir; competitive analysis; decision makers; flood prevention capacity; flood season; flood uncertainty; online algorithm; online strategy; optimal scheduling strategy design; power generation efficiency; reservoir hydroelectric station scheduling problem; Educational institutions; Floods; Job shop scheduling; Laboratories; Optimal scheduling; Optimized production technology; Reservoirs; Competitive Ratio; Hydroelectric scheduling; Online Strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6358290
Filename :
6358290
Link To Document :
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