Optimal operation of water resources systems using MOICA algorithm with reservoir hedging approach in low‐water regions*

2021 ◽  
Author(s):  
Ehsan Yarmohammadi ◽  
Mohammad Ali Izadbakhsh ◽  
Ahmad Rajabi ◽  
Fariborz Yosefvand ◽  
Saeid Shabanlou
2018 ◽  
Vol 66 (3) ◽  
pp. 323-329 ◽  
Author(s):  
Ali Hojjati ◽  
Mohsen Monadi ◽  
Alireza Faridhosseini ◽  
Mirali Mohammadi

Abstract Optimal operation of reservoir systems is the most important issue in water resources management. It presents a large variety of multi-objective problems that require powerful optimization tools in order to fully characterize the existing trade-offs. Many optimization methods have been applied based on mathematical programming and evolutionary computation (especially heuristic methods) with various degrees of success more recently. This paper presents an implementation and comparison of multi-objective particle swarm optimization (MOPSO) and non-dominated sorting genetic algorithm II (NSGA-II) for the optimal operation of two reservoirs constructed on Ozan River catchment in order to maximize income from power generation and flood control capacity using MATLAB software. The alternative solutions were based on Pareto dominance. The results demonstrated superior capacity of the NSGA-II to optimize the operation of the reservoir system, and it provides better coverage of the true Pareto front than MOPSO.


2018 ◽  
Vol 24 (6) ◽  
pp. 53
Author(s):  
Ahmed Abdul-Sahib Mohammed Ali ◽  
Zahra'a Hakim Abed

Tigris River water that comes from Turkey represents the main water resource of this river in Iraq. The expansion in water river implementations has formed a source of trouble for the workers in the water resources management field in Iraqi. Unfortunately, there is no agreement between Iraq and Turkey till now to share the water of this international river. Consequently, the optimal operation of water resources systems, particularly a multi-objective, multi-reservoir, is of the most necessity at the present time.  In this research two approaches, were used the dynamic programming (DP) approach and simulation model to find the optimal monthly operation of Ilisu Dam (from an Iraqi point of view) through a computer program (in Q. Basic language) to find the optimum monthly release and storage by adopting an objective function that minimizes the release and storage losses (penalty). The historical inflow data of 588 months from (Oct. 1961 to Sep. 2009) formed the input data to the optimization models. Storage rule curves for the reservoir at (lower, mean, upper) of (10%, 50%, and 90%), respectively, were found according to the results of the optimized operation. A simulation model was developed to operate the system using these rule curves.  


Eos ◽  
1971 ◽  
Vol 52 (6) ◽  
pp. IUGG305
Author(s):  
Harry E. Schwarz

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