Review on generating optimal operation for dam and reservoir water system: simulation models and optimization algorithms

被引:10
作者
Saab, Saad Mawlood [1 ]
Othman, Faridah Binti [1 ]
Tan, Chee Ghuan [1 ]
Allawi, Mohammed Falah [2 ]
El-Shafie, Ahmed [1 ]
机构
[1] Univ Malaya, Fac Engn, Dept Civil Engn, Kuala Lumpur 50603, Malaysia
[2] Univ Anbar, Coll Engn, Dams & Water Resources Engn Dept, Ramadi 31001, Iraq
关键词
Inflow; Water losses; Reservoir; Simulation; PARTICLE SWARM OPTIMIZATION; ARTIFICIAL NEURAL-NETWORK; SUPPORT VECTOR MACHINE; FUZZY INFERENCE SYSTEM; COLONY ANT ALGORITHM; GENETIC ALGORITHMS; MONTHLY INFLOW; EVOLUTIONARY ALGORITHMS; MULTIRESERVOIR SYSTEMS; EVAPORATION PROCESS;
D O I
10.1007/s13201-022-01593-8
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Accurate and reliable optimization and simulation of the dam reservoir system to ensure optimal use of water resources cannot be achieved without precise and effective models. Providing insight into reservoir system operation and simulation modeling through a comprehensive overview of the previous studies and expanding research horizons can enhance the potential for accurate and well-designed models. The current research reviews previous studies that have used optimization methods to find optimal operating policies for a reservoir system over the past 20 years. Indeed, successful operating policies cannot be obtained without achieving accurate predictions of the main hydrological parameters in the reservoir system, which are inflow and evaporation. The present study focuses on giving an overview of the applications of AI-based models for predicting reservoir inflow and evaporation. The advantages and disadvantages of both optimization algorithms and predictive models have been summarized. Several recommendations for future research have also been included in the present review paper.
引用
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页数:28
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