Optimization of Multireservoir Systems by Genetic Algorithm |
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| Authors: | Onur Hınçal A Burcu Altan-Sakarya A Metin Ger |
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| Affiliation: | (1) National Institute of Technology, Warangal, India;(2) Department of Civil Engineering, Government College of Engineering, Aurangabad-431 005, Maharashtra State, India;(3) Water & Environment Division, Department of Civil Engineering, National Institute of Technology, Warangal, India |
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| Abstract: | 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. |
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