Optimization of Multireservoir Systems by Genetic Algorithm

被引：80
|
作者：
Hincal, Onur [3 ]
Altan-Sakarya, A. Burcu [1 ]
Ger, A. Metin [2 ]
机构：
[1] Middle E Tech Univ, Dept Civil Engn, TR-06531 Ankara, Turkey
[2] Istanbul Aydin Univ, Istanbul, Turkey
[3] Soyak Construct & Trading Co, Headquarters, Istanbul, Turkey
来源：
WATER RESOURCES MANAGEMENT | 2011年 / 25卷 / 05期
关键词：
Genetic algorithm; Optimization; Reservoirs; Real-time; RESERVOIR OPERATION; MANAGEMENT; RULES; DECISION; MODELS; POLICY;
D O I：
10.1007/s11269-010-9755-0
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Application of optimization techniques for determining the optimal operating policy of reservoirs is a major issue in water resources planning and management. As an optimization Genetic Algorithm, ruled by evolution techniques, have become popular in diversified fields of science. The main aim of this study is to explore the efficiency and effectiveness of genetic algorithm in optimization of multi-reservoirs. A computer code has been constructed for this purpose and verified by means of a reference problem with a known global optimum. Three reservoirs in the Colorado River Storage Project were optimized for maximization of energy production. Besides, a real-time approach utilizing a blend of online and a posteriori data was proposed. The results obtained were compared to the real operational data and genetic algorithm was found to be effective and can be utilized as an alternative technique to other traditional optimization techniques.
引用
收藏
页码：1465 / 1487
页数：23
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