Multi-Objective Simulation-Optimization Model for Long-term Reservoir Operation using Piecewise Linear Hedging Rule

An efficiently parameterized and appropriately structured piecewise linear hedging rule is formulated and included within a multi-objective simulation-optimization (S-O) framework that seeks to obtain Pareto-optimal solutions for the long-term hedged operation of a single water supply reservoir. Two...

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Bibliographic Details
Published in:Water resources management 2018-03, Vol.32 (5), p.1901-1911
Main Authors: Srinivasan, K., Kumar, Kranthi
Format: Article
Language:English
Subjects:
Atmospheric Sciences
Civil Engineering
Classification
Computer applications
Computer simulation
Computing time
Earth and Environmental Science
Earth Sciences
Environment
Evolutionary algorithms
Frameworks
Genetic algorithms
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology/Water Resources
Mathematical models
Multiple objective analysis
Optimization
Optimization models
Pareto optimization
Pareto optimum
Preconditioning
Reservoir operation
Simulation
Solutions
Sorting algorithms
Stochasticity
Water supply
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Summary:An efficiently parameterized and appropriately structured piecewise linear hedging rule is formulated and included within a multi-objective simulation-optimization (S-O) framework that seeks to obtain Pareto-optimal solutions for the long-term hedged operation of a single water supply reservoir. Two conflicting objectives, namely, “minimize the total shortage ratio” and “minimize the maximum shortage” are considered in the S-O framework, while explicit specification of constraints is avoided in the optimization module. Evolutionary search based non-dominated sorting genetic algorithm is used as the driver, which is linked to the simulation engine that invokes the piecewise linear hedging rule within the S-O framework. Preconditioning of the multi-objective stochastic search of the time-varying piecewise linear hedging model is effected by feeding initial feasible solutions sampled from the Pareto-optimal front of a simple constant hedging parameter model, which has resulted in significant improvement of the Pareto-optimality and the computational efficiency.
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-018-1911-y