Simulation–Optimization Tool for Multiattribute Reservoir Systems
Publication: Journal of Hydrologic Engineering
Volume 24, Issue 9
Abstract
Reservoirs, as the largest water systems for controlling water and supply demands, have been particularly important due to their operational requirements. Applying practical tools to evaluate the performance of reservoir systems plays a key role in their effective operational management. This study focused on developing a simulation–optimization tool for the design and operation of multiattribute reservoir systems (SOMAR), which includes four parts: input data, simulation, optimization, and output results. Its different components can be selectively activated for each problem. SOMAR can use both standard operation policy or given rule curves for reservoir system simulation in accordance with the user’s preference. It applies a comprehensive evolutionary algorithm for optimization. In this study, SOMAR was validated in seven types of reservoir system problems, including simulations based on (1) standard operation policy, (2) given rule curves, (3) design optimization, (4) long-term operation optimization, (5) design and long-term operation optimization, (6) rule curve optimization, and (7) design and rule curve optimization. The validations indicated the capabilities of SOMAR in analyzing reservoir systems with high reliability of the final results by considering different aspects of these systems.
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Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
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Information & Authors
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Published In
Journal of Hydrologic Engineering
Volume 24 • Issue 9 • September 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Sep 18, 2018
Accepted: Mar 15, 2019
Published online: Jul 8, 2019
Published in print: Sep 1, 2019
Discussion open until: Dec 8, 2019
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