Optimization of Taleghan Dam Reservoir Operation Using Grey Wolf Algorithm and Its Hybrid with Genetic Algorithm

Subject Areas : Water Resources

ardavan  davani motlagh ¹ (Department of Civil Engineering, Central Tehran Branch, Islamic Azad University Tehran, Iran.)
Mohammad Sadegh  Sadeghian ² (Department of Civil Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.)
Amir Hossein  Javid ³ (Department of Environmental Engineering, Science and Research Branch, Islamic Azad University,)
Mohammad Sadegh  Asgari ⁴ (Department of Mathematics, Central Tehran Branch, Islamic Azad University,)

Received: 2021-05-14 Accepted : 2021-07-03 Published : 2021-08-23

Keywords: Genetic Algorithm, Optimization, Taleghan Dam, Grey wolf optimization algorithm, Grey-wolf-genetic hybrid algorithm,

Abstract :

Due to population growth, shortage and severe limitation of water resources, one of the basic steps in water management and planning is reservoir optimization. In the present study, after the introduction of the Gray Wolf optimization algorithm, the performance of this algorithm alone and in combination with the genetic algorithm in optimizing the operation of the Taleghan Dam reservoir has been evaluated. The objective function is to minimize the total squares of relative deficiencies in allocating to it each month and maximize reliability throughout the 11-year transition period from 2009 to 2017. Also, the constraints of reservoir continuity equation, reservoir storage volume and reservoir release volume were applied to the objective function of the problem. The results obtained from the performance evaluation indices of the models showed that in terms of time reliability, vulnerability and sustainability indices, the gray wolf-genetic hybrid algorithm with 72.73, 0.28, 24.66 is better than the gray wolf algorithm with 68.93, 0.29, 21.48 and the algorithm. Genetics with 66.66, 0.41, 21.34.