Abstract
In this study, a model is developed for short-term flood control of a complex multi-reservoir system located on one of the largest basins in Turkey. The managing body of the reservoirs requires that short-term real-time flood control is used in conjunction with the long-term operation for energy maximization. For this purpose, a novel operating framework is developed to couple short-term and long-term decisions. The resulting optimization problems are a large scale and nonlinear. Hence, the solution is maintained by developing an improved epoch-based particle swarm optimization (PSO) method. The proposed solution is general and can be used for any watershed with different layouts of several reservoirs having anticipated inflows and pre-defined release and storage constraints. It is the first time PSO is used for such a complex large-scale problem within flood control context. The developed optimization model was applied to a sample basin having 10 reservoirs with general layout of the mixed structures. The results obtained were compared to the real operational data and it was found that a solution with less flooding and more energy production would have been possible if the proposed methodology were utilized.
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Acknowledgements
This work is carried out within the scope of the ATHOM Project (5162802) developed for the General Directorate of State Hydraulic Works (DSI) by the Scientific and Technological Research Council of Turkey Marmara Research Center (TUBITAK MRC) Energy Institute. The authors would like to thank DSI and TUBITAK MRC for their valuable contributions.
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This work is funded within the scope of the ATHOM Project (5162802) developed for the General Directorate of State Hydraulic Works (DSI).
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Güvengir, U., Savasaneril, S., Altan-Sakarya, A.B. et al. Short-Term Flood Control and Long-Term Energy Maximization in Multi-reservoir Systems Using Improved Particle Swarm Optimization. Water Resour Manage 35, 4293–4307 (2021). https://doi.org/10.1007/s11269-021-02947-8
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DOI: https://doi.org/10.1007/s11269-021-02947-8