Operators usually follow the rule curves for operation of a reservoirs system in actual conditions. Rule curve indicates desired release or target storage volume for a reservoir in the specified period of year. In the present study, combination of a simple genetic algorithm with the simulation model (ARSP) was used for multiple reservoir systems to find optimum rule curves. In this hybrid model, a linear programming was used for water allocation per single period. In addition, the genetic algorithm through a nonlinear programming was utilized for searching the rule curves. Capability of the developed model was evaluated by defining and analyzing of the three dam water resources systems in Zohre River. Calculations showed that the above combination improved the limitation modeling greatly, increased optimization convergence rate and made considerable flexibility for total process of planning and management in complex systems.
Taghian,M. , Radmanesh,F. , Akhondali,A. and Haghighi,A. (2011). multi-reservoir systems operating rule curve optimization using a linear programming-genetic algorithm hybrid model. Iranian Water Researches Journal, 5(2), 83-90.
MLA
Taghian,M. , , Radmanesh,F. , , Akhondali,A. , and Haghighi,A. . "multi-reservoir systems operating rule curve optimization using a linear programming-genetic algorithm hybrid model", Iranian Water Researches Journal, 5, 2, 2011, 83-90.
HARVARD
Taghian M., Radmanesh F., Akhondali A., Haghighi A. (2011). 'multi-reservoir systems operating rule curve optimization using a linear programming-genetic algorithm hybrid model', Iranian Water Researches Journal, 5(2), pp. 83-90.
CHICAGO
M. Taghian, F. Radmanesh, A. Akhondali and A. Haghighi, "multi-reservoir systems operating rule curve optimization using a linear programming-genetic algorithm hybrid model," Iranian Water Researches Journal, 5 2 (2011): 83-90,
VANCOUVER
Taghian M., Radmanesh F., Akhondali A., Haghighi A. multi-reservoir systems operating rule curve optimization using a linear programming-genetic algorithm hybrid model. IWRJ, 2011; 5(2): 83-90.
