Risk and Reliability Analysis of Open Reservoir Water Shortages Using Optimization
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Marton, Daniel
Kapelan, Zoran
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Mark
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Elsevier
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The goal of this paper was to describe how to find optimal relations between water shortage and hydropower energy based on Risk and Reliability methods. Reservoir simulation model including water losses as well as risk (reliability) model of water demand has been built up. Using NSGA II optimization method the optimization of reservoir operation has been done. For problem solving was used Multi-Objective Optimization. This approach has been applied to a real-life water reservoir called Vir 1 in the Czech Republic. Results were presented in the form of Pareto curves and data sets of reservoir outflows.
The goal of this paper was to describe how to find optimal relations between water shortage and hydropower energy based on Risk and Reliability methods. Reservoir simulation model including water losses as well as risk (reliability) model of water demand has been built up. Using NSGA II optimization method the optimization of reservoir operation has been done. For problem solving was used Multi-Objective Optimization. This approach has been applied to a real-life water reservoir called Vir 1 in the Czech Republic. Results were presented in the form of Pareto curves and data sets of reservoir outflows.
The goal of this paper was to describe how to find optimal relations between water shortage and hydropower energy based on Risk and Reliability methods. Reservoir simulation model including water losses as well as risk (reliability) model of water demand has been built up. Using NSGA II optimization method the optimization of reservoir operation has been done. For problem solving was used Multi-Objective Optimization. This approach has been applied to a real-life water reservoir called Vir 1 in the Czech Republic. Results were presented in the form of Pareto curves and data sets of reservoir outflows.
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Risk , reliability , water resources , open reservoir , reservoir operation , genetic algorithm , Non-Dominated Shorting Genetic Algorithm , NSGA II , water demand , water shortage , Risk , reliability , water resources , open reservoir , reservoir operation , genetic algorithm , Non-Dominated Shorting Genetic Algorithm , NSGA II , water demand , water shortage
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Procedia Engineering. 2014, vol. 89, issue 1, p. 1478-1485.
http://www.sciencedirect.com/science/article/pii/S187770581402548X
http://www.sciencedirect.com/science/article/pii/S187770581402548X
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en
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Except where otherwised noted, this item's license is described as Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported

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