Optimization Reservoir Operation Policy with Approach reduces probability of inflow Using Genetic Algorithm (The case study: Mahabad Reservoir Dam)

Document Type : Research

Authors

1 PhD in Watershed Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

2 Associate Professor, Faculty of Natural Resources, Urmia University, Urmia, Iran

3 Islamic Azad University, Torbat Jam Branch, Young Researchers Club, Torbat Jam, Iran

4 Ph. D., student of watershed management engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

5 Ph. D., Student of Watershed Management Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

10.22092/wmej.2016.112229

Abstract

In the management water resources science, optimal Operation of existing water systems, such as dams, every day is more important. Due to budget and operational water resources limitations and environmental problems, optimize operation of these systems are gradually replaced by new systems are constructed. Optimal Operation of water resources is a Complex, nonlinear, multi-constraint and multidimensional optimization Problem, so to solve them robust optimization techniques needs are needed. In this study Genetic Algorithm optimization has been used in operation of the Mahabad reservoir Dam in Northwest of Iran. The objective function is minimization of difference between downstream monthly demand and release. Early; Sensitivity analysis of GA model performed by considering of various parameters. Then the method was applied considering the reduce probability of inflow to dam for period 24months in the different scenarios. The results show that, the critical condition of drought could managed by the GA model, the optimized model could satisfy downstream watery demand.

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History

  • Receive Date: 24 September 2013
  • Revise Date: 19 April 2014
  • Accept Date: 21 May 2014

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