Multiobjective Optimization Modeling Approach for Multipurpose Single Reservoir Operation

Iosvany Recio Villa,José Martínez Rodríguez,Julio Pino Tarragó,José-Luis Molina

doi:10.3390/w10040427

Iosvany Recio Villa, José Martínez Rodríguez + Show 2 more

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https://doi.org/10.3390/w10040427

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Abstract

The water resources planning and management discipline recognizes the importance of a reservoir’s carryover storage. However, mathematical models for reservoir operation that include carryover storage are scarce. This paper presents a novel multiobjective optimization modeling framework that uses the constraint-ε method and genetic algorithms as optimization techniques for the operation of multipurpose simple reservoirs, including carryover storage. The carryover storage was conceived by modifying Kritsky and Menkel’s method for reservoir design at the operational stage. The main objective function minimizes the cost of the total annual water shortage for irrigation areas connected to a reservoir, while the secondary one maximizes its energy production. The model includes operational constraints for the reservoir, Kritsky and Menkel’s method, irrigation areas, and the hydropower plant. The study is applied to Carlos Manuel de Céspedes reservoir, establishing a 12-month planning horizon and an annual reliability of 75%. The results highly demonstrate the applicability of the model, obtaining monthly releases from the reservoir that include the carryover storage, degree of reservoir inflow regulation, water shortages in irrigation areas, and the energy generated by the hydroelectric plant. The main product is an operational graph that includes zones as well as rule and guide curves, which are used as triggers for long-term reservoir operation.

Highlights

Since the 1960s, interest in the efficient management of water resources has intensified worldwide.People have long struggled with the regulation of water resources across the world
The reservoir has a high value of degree of regulation (α), which is due to a strong multi-year o carryover storage behavior that is reflected in the values of βh and Sh
The present paper shows a new multiobjective optimization modeling approach for multipurpose single reservoir operation

Summary

Introduction

People have long struggled with the regulation of water resources across the world This is related to adjacent problematic phenomena such as growing populations and resource use, increasing competition among users, ecosystems damage, and climate change [1]. In this sense, reservoir operation has been a field of intensive scientific research. The goal of reservoir operation studies is to define its optimal operation policy This should be able to determine the operating rules, guide curves, monthly target release, and the amount of water to be reserved for future uses. It is common to find reservoirs that are used to satisfy the needs of several users at the same time; these are known

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Conclusion