Abstract
Hybridizing ANN-NSGA-II model with genetic programming method for reservoir operation rule curve determination (Case study Zayandehroud dam reservoir)
Highlights
Nowadays, the water resources limitation becomes a sever problem in many areas which is restricted the area’s developments
Comparison of the results showed the better performance of the fixed-length gene genetic programming (FLGGP) method for determining the reservoir operation rule curves
The results showed that the water release values were increased by using the DDP2 method in comparison with the results of the piecewise linear regression (PL-REG), least square support vector machine (LS-SVM), and the Bayesian model averaging (BMA) models
Summary
The water resources limitation becomes a sever problem in many areas which is restricted the area’s developments. Different methods are proposed to determine the reservoir operation policies of the Zayandehroud dam reservoir for water supply For this purpose, at first, the influential input variables and essential parameters should be defined for modeling. The operation policies of the Zayandehroud dam reservoir are determined using the SDP method For this purpose, all state variables (water storage volumes at the beginning of the operation period) are discretized into different interval values. The defined optimization model is developed and extended to define an optimization model for reservoir rule curves and policies determination considering the current conditions In this problem, the water releases values can be defined as a linear or nonlinear polynomials function of water inflow or water storage values at the different operation times and other effective parameters.
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