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

被引:0
作者
Saad Mawlood Saab
Faridah Binti Othman
Chee Ghuan Tan
Mohammed Falah Allawi
Ahmed El-Shafie
机构
[1] Universiti Malaya,Department of Civil Engineering, Faculty of Engineering
[2] University of Anbar,Dams and Water Resources Engineering Department, College of Engineering
来源
Applied Water Science | 2022年 / 12卷
关键词
Inflow; Water losses; Reservoir; Simulation;
D O I
暂无
中图分类号
学科分类号
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.
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[1]  
Abedinia O(2014)A new metaheuristic algorithm based on shark smell optimization Complexity 21 97-116
[2]  
Amjady N(2012)Prediction of daily pan evaporation using wavelet neural networks Water Resour Manag 26 3639-3652
[3]  
Ghasemi A(2020)Input attributes optimization using the feasibility of genetic nature inspired algorithm: application of river flow forecasting Sci Rep 10 1-15
[4]  
Abghari H(2012)Large scale reservoir operation by Constrained Particle Swarm Optimization algorithms J Hydro Environ Res 6 75-87
[5]  
Ahmadi H(2009)Non-dominated archiving multi-colony ant algorithm for multi-objective optimization: application to multi-purpose reservoir operation Eng Optim 41 313-325
[6]  
Besharat S(2016)The application of artificial bee colony and gravitational search algorithm in reservoir optimization Water Resour Manag 30 2497-2516
[7]  
Rezaverdinejad V(2016)Optimizing multireservoir operation: hybrid of bat algorithm and differential evolution J Water Resour Plan Manag 142 5015010-161
[8]  
Afan HA(2005)Genetic algorithm for optimal operating policy of a multipurpose reservoir Water Resour Manag 19 145-4788
[9]  
Allawi MF(2016)Utilizing RBF-NN and ANFIS methods for multi-lead ahead prediction model of evaporation from reservoir Water Resour Manag 30 4773-926
[10]  
El-Shafie A(2017)Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region Theor Appl Climatol 77 366-943