Optimization of Hedging Rules for Reservoir Operation During Droughts Based on Particle Swarm Optimization View Full Text


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Article Info

DATE

2016-12

AUTHORS

Mike Spiliotis, Luis Mediero, Luis Garrote

ABSTRACT

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 four water resource systems in Spain. From the application it can be seen that the deficits of the water supply demand are nearly removed, thanks to the larger weight given to the deficits of this demand type. The irrigation deficits are also reduced, since we lead to a sequence of smaller shortages than only one potential catastrophic shortage. More... »

PAGES

5759-5778

References to SciGraph publications

  • 2012-01. Development of a Demand Driven Hydro-climatic Model for Drought Planning in WATER RESOURCES MANAGEMENT
  • 2016-02. Multi-Objective Optimization Model for the Allocation of Water Resources in Arid Regions Based on the Maximization of Socioeconomic Efficiency in WATER RESOURCES MANAGEMENT
  • 2009. Development of Drought Management Plans in Spain in COPING WITH DROUGHT RISK IN AGRICULTURE AND WATER SUPPLY SYSTEMS
  • 2005-04. Derivation of Optimal Hedging Rules for a Water-supply Reservoir through Compromise Programming in WATER RESOURCES MANAGEMENT
  • 2011-05. GA-ILP Method for Optimization of Water Distribution Networks in WATER RESOURCES MANAGEMENT
  • 2007-05. Linking Drought Indicators to Policy Actions in the Tagus Basin Drought Management Plan in WATER RESOURCES MANAGEMENT
  • 2012-03. Definition of Risk Indicators for Reservoirs Management Optimization in WATER RESOURCES MANAGEMENT
  • 2012-01. Multi-reservoir Operation Rules: Multi-swarm PSO-based Optimization Approach in WATER RESOURCES MANAGEMENT
  • 2007-05. Challenges to Manage the Risk of Water Scarcity and Climate Change in the Mediterranean in WATER RESOURCES MANAGEMENT
  • 2002-06. Recent approaches to global optimization problems through Particle Swarm Optimization in NATURAL COMPUTING
  • 1993. The Enigma of Drought in DROUGHT ASSESSMENT, MANAGEMENT, AND PLANNING: THEORY AND CASE STUDIES
  • 2011-01. Drought Severity Assessment Based on Bivariate Probability Analysis in WATER RESOURCES MANAGEMENT
  • 2014-03. Water Transfer Triggering Mechanism for Multi-Reservoir Operation in Inter-Basin Water Transfer-Supply Project in WATER RESOURCES MANAGEMENT
  • 2007-06. Particle swarm optimization in SWARM INTELLIGENCE
  • 2015-01. Εvaluation of Measures for Combating Water Shortage Based on Beneficial and Constraining Criteria in WATER RESOURCES MANAGEMENT
  • 2009. Guidelines to Develop Drought Management Plans in COPING WITH DROUGHT RISK IN AGRICULTURE AND WATER SUPPLY SYSTEMS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11269-016-1285-y

    DOI

    http://dx.doi.org/10.1007/s11269-016-1285-y

    DIMENSIONS

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    37 schema:description 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 four water resource systems in Spain. From the application it can be seen that the deficits of the water supply demand are nearly removed, thanks to the larger weight given to the deficits of this demand type. The irrigation deficits are also reduced, since we lead to a sequence of smaller shortages than only one potential catastrophic shortage.
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