DocumentCode
2590241
Title
Research on multi-objective optimal operation model in EPing hydropower station
Author
Lei, Xiaohui ; Tian, Yu ; Li, Haichen ; Jiang, Yunzhong
Author_Institution
China Inst. of Water Resources & Hydropower, IWHR, Beijing, China
Volume
4
fYear
2011
fDate
15-17 Oct. 2011
Firstpage
2232
Lastpage
2235
Abstract
With the rapid development of social economy, the society water consumption has increased dramatically which also lead to sharp contradiction between supply and demand, so how to allocate limited water resources reasonable has become a reality and urgent task of water management. With the author further studying the reservoir regulation theory and mechanism, the deterministic optimization is developed based on multi-objective optimizing reservoir scheduling model, using nonlinear programming as optimization algorithm for constructing the universal optimizing reservoir scheduling model. And based on multi-objective thought, it has produced a set of Pareto frontier solution set, through the temple, the application of EPing hydropower station get a series of decision-making plan, so that policymakers can choose the preference for decision-making plan.
Keywords
Pareto optimisation; decision making; hydroelectric power stations; nonlinear programming; reservoirs; resource allocation; EPing hydropower station; Pareto frontier solution set; decision making plan; deterministic optimization; limited water resource allocation; multiobjective optimal operation model; multiobjective universal optimizing reservoir scheduling model; nonlinear programming; reservoir regulation theory; social economy development; society water consumption; water management; Biological system modeling; Hydroelectric power generation; Mathematical model; Pareto optimization; Reservoirs; EPing hydropower station; Multi-objective; Nonlinear programming; Optimal operation;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-9351-7
Type
conf
DOI
10.1109/BMEI.2011.6098672
Filename
6098672
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