Optimization of Multireservoir Systems by Genetic Algorithm

被引：82

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

页码：1465 / 1487

页数：23

共 41 条

[1]

AHMED I, 2001, PROC WORLD WATER ENV

[2] Genetic algorithm for optimal operating policy of a multipurpose reservoir [J].

Ahmed, JA ;

Sarma, AK .

WATER RESOURCES MANAGEMENT, 2005, 19 (02) :145-161

[3]

[Anonymous], 1992, GENETIC ALGORITHMS D, DOI DOI 10.1007/978-3-662-03315-9

[4]

ANSARI N, 1999, COMPUTATIONAL INTELL

[5] Optimization of large-scale hydropower system operations [J].

Barros, MTL ;

Tsai, FTC ;

Yang, SL ;

Lopes, JEG ;

Yeh, WWG .

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2003, 129 (03) :178-188

[6] DYNAMIC PROGRAMMING [J].

BELLMAN, R .

SCIENCE, 1966, 153 (3731) :34-&

[7] Solving nonlinear water management models using a combined genetic algorithm and linear programming approach [J].

Cai, XM ;

McKinney, DC ;

Lasdon, LS .

ADVANCES IN WATER RESOURCES, 2001, 24 (06) :667-676

[8] Multireservoir modeling with dynamic programming and neural networks [J].

Chandramouli, V ;

Raman, H .

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 2001, 127 (02) :89-98

[9] Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation [J].

Cheng, CH ;

Lin, Y .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 142 (01) :174-186

[10] Optimizing hydropower reservoir operation using hybrid genetic algorithm and chaos [J].

Cheng, Chun-Tian ;

Wang, Wen-Chuan ;

Xu, Dong-Mei ;

Chau, K. W. .

WATER RESOURCES MANAGEMENT, 2008, 22 (07) :895-909

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