Optimization of Multireservoir Systems by Genetic Algorithm

被引：0
作者：
Onur Hınçal
A. Burcu Altan-Sakarya
A. Metin Ger
机构：
[1] Headquarters,Department of Civil Engineering
[2] Soyak Construction and Trading Co.,undefined
[3] Middle East Technical University,undefined
[4] İstanbul Aydın University,undefined
来源：
Water Resources Management | 2011年 / 25卷
关键词：
Genetic algorithm; Optimization; Reservoirs; Real-time;
D O I：
暂无
中图分类号：
学科分类号：
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：22
相关论文
共 63 条
[1]  
Ahmed JA(2005)Genetic algorithm for optimal operating policy of a multipurpose reservoir Water Resour Manage 19 145-161
[2]  
Sarma AK(2003)Optimization of large-scale hydropower system operations J Water Resour Plan Manage 129 178-188
[3]  
Barros M(2001)Solving nonlinear water management models using a combined genetic algorithm and linear programming approach Adv Water Resour 24 667-676
[4]  
Tsai F(2001)Multireservoir modeling with dynamic programming and neural networks J Water Resour Plan Manage 127 89-98
[5]  
Yang S-L(2001)Fuzzy iteration methodology for reservoir flood control operation J Am Water Resour Assoc 37 1381-1388
[6]  
Lopes J(2002)Three-person multi-objective conflict decision in reservoir flood control Eur J Oper Res 142 625-631
[7]  
Yeh W(2004)Flood control management system for reservoirs in China Environ Model Softw 19 1141-1150
[8]  
Cai X(2008)Optimizing hydropower reservoir operation using hybrid genetic algorithm and chaos Water Resour Manage 22 895-909
[9]  
McKinney D(1995)Using genetic algorithms to solve a multiobjective groundwater monitoring problem Water Resour Res 31 399-409
[10]  
Lasdon L(1995)Evolution program for the design of rectilinear branched distribution systems J Comput Civ Eng, ASCE 9 112-121
1234567