Two-Stage Metaheuristic Mixed Integer Nonlinear Programming Approach to Extract Optimum Hedging Rules for Multireservoir Systems
Publication: Journal of Water Resources Planning and Management
Volume 147, Issue 10
Abstract
Hedging policy is an applicable strategy for water resources systems with storage reservoirs to reduce the damage resulting from extended droughts. Optimizing the operation of parallel and cascade multireservoir systems is a challenging task because of its many complexities. This study proposes a two-stage approach for reaching both operating rule curves and rationing coefficients for multireservoir systems. In the first stage, initial solutions of the main problem are achieved by coupling the mixed-integer nonlinear programming (MINLP) with the particle swarm optimization algorithm. The achieved solutions are then adjusted in the second stage by implementing a distributed simulation–optimization model that efficiently models the system features. The proposed approach has been applied to gain optimal rule curves and rationing coefficients for the reservoirs of the Great Karun multireservoir system in southwestern Iran. The proposed model outperformed the other two—i.e., the distributed simulation–optimization model and the lumped MINLP model—in multireservoir system operation and was able to obtain the optimal hedging operating policy within a reasonable time. With this model, supply can be prioritized for various system demands. Also, the hedging operating policy from the proposed model significantly reduced the magnitude of failures during drought periods.
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Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request (e.g., monthly streamflow, reservoir characteristics, evaporation data, demand characteristics, and supply restrictions).
Acknowledgments
The author gratefully acknowledges support by the Shahid Chamran University of Ahvaz (SCU) under Grant SCU.EC98.31254. This work is a part of the DSSGK (Development of Decision Support System for Great Karun water resources system) research project supported by Khouzestan Water and Power Authority (KWPA) under Grant KWPA.R33.96.108. The author is grateful to the Stockholm Environment Institute (SEI) for providing a free license of WEAP software and to Dr. Shahab Araghinejad and Dr. Marisa Escobar for their valuable advice about implementation of the WEAP model.
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Journal of Water Resources Planning and Management
Volume 147 • Issue 10 • October 2021
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Received: Aug 8, 2020
Accepted: Jun 14, 2021
Published online: Aug 10, 2021
Published in print: Oct 1, 2021
Discussion open until: Jan 10, 2022
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