Chapter
Apr 26, 2012
Stochastic VLGA Model for Operation Optimization of Cascade Reservoirs
Authors: Banafsheh Zahraie [email protected], Caro Lucas [email protected], and Fariborz Nematizadeh [email protected]Author Affiliations
Publication: World Environmental and Water Resources Congress 2008: Ahupua'A
Abstract
In this study, a Stochastic Varying Chromosome Length Genetic Algorithm model is developed in which reservoir inflow uncertaities have been taken into account. In this model, the basic concept of the Varying Chromosome Length Genetic Algorithm model (VLGA) has been used to develop a multi-objective stochastic GA model for reservoir operation optimization. The Fast Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) has also been utilized in development of the optimization model in order to be able to consider multiple objectives. The search and selection methods for the initial solutions are developed to increase the convergence speed of the model in order to be able to apply this model to multi-reservoir systems. The developed model is applied to the cascade system of reservoirs on Karoon River in Southwest of Iran.
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World Environmental and Water Resources Congress 2008: Ahupua'A
Pages: 1 - 9
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© 2008 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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Affiliations
Assistant Professor, School of Civil Engineering and Center of Excellence for Infrastructure Engineering and Management, University of Tehran. E-mail: [email protected]
Professor, School of Electrical and Computer Engineering, University of Tehran. E-mail: [email protected]
Researcher, Center of Excellence for Infrastructure Engineering and Management, University of Tehran. E-mail: [email protected]
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