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Descripción
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| This paper presents a methodology to achieve the identification of optimal hedging rules for operating reservoir systems, seeking to mitigate the drought impacts. The heuristic Particle Swarm Optimization (PSO) method is adopted as the optimization solver. This procedure establishes a two-phase method that combines PSO with the simulation of the water system, representing a system of reservoirs that are jointly operated to satisfy a set of demands with different priorities. The hedging rules are based on monthly storage levels that trigger restrictions on the demands. As model parameters, monthly rule activation thresholds and rationing factors were used for each type of demand. The optimization procedure minimizes an objective function that penalizes large deficits and assigns different weights to different demand types. Since the whole problem is quite complex, its dimensionality is reduced through: i) a set of candidate monthly activation thresholds are selected a priori associated to given risk conditions; and ii) the rationing factors are defined for every demand of each threshold throughout all months. In addition, an effort is made to avoid the trap in local optimums, whilst several other comments considering the application of the PSO method in the examined applications are provided. The procedure has been successfully applied to five water resource systems in Spain. | |
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Internacional
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Si |
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Nombre congreso
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9th WORLD CONGRESS OF EWRA. "Water Resources Management in a Changing World: Challenges and Opportunities" 10-13 June 2015, Istanbul |
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Tipo de participación
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960 |
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Lugar del congreso
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Istanbul, Turkey |
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Revisores
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Si |
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ISBN o ISSN
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DOI
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Fecha inicio congreso
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10/06/2015 |
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Fecha fin congreso
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13/06/2015 |
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