Optimization of Dam Reservoir Operation Using Grey Wolf Optimization and Genetic Algorithms (A Case Study of Taleghan Dam)

Document Type : Original Article

Authors

1 Department of Civil Engineering, Central Tehran Branch, Islamic Azad University Tehran, Iran

2 Department of Environmental Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Department of Mathematics, Central Tehran Branch, Islamic Azad University , Tehran, Iran.

Abstract

With the growth of population, shortage of water, and severe lack of water resources, optimization of reservoirs operation is a principal step in water resource planning and management. Therefore, in the present study, water was optimally allocated for a period from 2010 to 2020 using two simulation-optimization models based on Grey Wolf Optimization algorithm (GWO) and Genetic Algorithm (GA) and WEAP model. System operational indices including volumetric reliability, temporal reliability, vulnerability, and sustainability were used to evaluated the perforemance of optimization algorithms as well as WEAP model. The objective function of resources allocation problem was minimizing sum of the squared relative deficiencies for each month and maximizing reliability over the entire 11-year period. The results showed that optimal allocation solution found by the GWO algorithm with volumetric reliability, vulnerability, and sustainability indices which were 86.93, 0.29, and 21.48%, respectively was better and more suitable than the optimal allocation solution found by GA algorithm (which were 87.12, 0.41, and 21.34%, respectively). Finally, given an increase in the water demands , it is possible to obviate the needs of beneficiaries to an acceptable level and prevent severe draught in dry months through optimizing the use of available resources. According to the calculated indices for the WEAP model, in which volumetric reliability, vulnerability, and sustainability were equal to 87.46, 0.92, and 1.03%, respectively. It can be concluded that the use of optimization algorithm in optimal operation of the dam is more reliable than WEAP model.

Keywords


 
1.     Dariane, A.B., "Reservoir operation during droughts",  Vol. 16, No. 3, (2003), 209-216, doi: 10.1201/9781315226774.
2.     Othman, F., Sadeghian, M. and Azad, I., "Investigate the potential and limitations of meta-heuristics algorithms applied in reservoir
 
 
 
 
 
 
 
operation systems", in 6th International Symposium on Advance Science and Technology, Kuala Lumpur, Malaysia. (2012).
3.     Sattari, M.T., Apaydin, H., Ozturk, F.J.S.E.R. and Assessment, R., "Operation analysis of eleviyan irrigation reservoir dam by optimization and stochastic simulation",  Vol. 23, No. 8, (2009), 1187-1201, doi: 10.1007/s00477-008-0292-9
4.     Kougias, I.P., Theodossiou, N.P.J.O. and Engineering, "Application of the harmony search optimization algorithm for the solution of the multiple dam system scheduling",  Vol. 14, No. 2, (2013), 331-344, doi: 10.1007/s11081-011-9183-x.
5.     Mehta, V.K., Haden, V.R., Joyce, B.A., Purkey, D.R. and Jackson, L.E.J.A.w.m., "Irrigation demand and supply, given projections of climate and land-use change, in yolo county, california",  Vol. 117, (2013), 70-82, doi. http://dx.doi.org/10.1016/j.agwat.2012.10.021
6.     Guo, X., Hu, T., Wu, C., Zhang, T. and Lv, Y.J.W.r.m., "Multi-objective optimization of the proposed multi-reservoir operating policy using improved nspso",  Vol. 27, No. 7, (2013), 2137-2153, doi: 10.1029/2010WR009166
7.     Pradhan, N. and Tripathy, K.J.A.J.o.E.R., "Optimization of the operating policy of the multipurpose hirakud reservoir by genetic algorithm",  Vol. 2, No. 11, (2013), 260-266.
8.     Sonaliya, S., Suryanarayana, T.J.I.J.o.I.R.i.S., Engineering and Technology, "Optimal reservoir operation using genetic algorithm: A case study of ukai reservoir project",  Vol. 3, No. 6, (2014).
9.     Jian-Xia, C., Qiang, H. and Yi-min, W.J.W.R.M., "Genetic algorithms for optimal reservoir dispatching",  Vol. 19, No. 4, (2005), 321-331, doi: 10.1007/s11269-005-3018-5.
10.   Ghadami, S., Ghahraman, B., Sharifi, M. and RAJABI, M.H., "Optimization of multireservoir water resources systems operation using genetic algorithm",  Vol. 5, No. 2, (2009), doi: 10.3390/su10051660
11.   Dehghan, Z., Delbari, M., Mohammadrezapour, O.J.W. and Science, S., "Planning water resources allocation under various managerial scenarios in gorganroud basin",  Vol. 25, No. 3, (2015), 117-132.
12.   Asadi, M., Akhondali, A., Azari, A.J.I.J.o.S. and Research, W., "Optimal operation of water resources systems by using mopso multi-objective algorithm",  Vol. 48, No. 4, (2017), 701-714, doi.
13.   Mirjalili, S., Mirjalili, S.M. and Lewis, A.J.A.i.e.s., "Grey wolf optimizer",  Vol. 69, (2014), 46-61.
14.   Holland John, H.J.A.A.U.o.M.P., "Adaptation in natural and artificial systems" The University of Michigan Press, Ann Harbor, MI.
15.   Sieber, J., "Weap water evaluation and planning system",  (2006), International Congress on Environmental Modelling and Software.
16.   Hashimoto, T., Stedinger, J.R. and Loucks, D.P.J.W.r.r., "Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation",  Vol. 18, No. 1, (1982), 14-20.
17.   Loucks, D.P.J.H.S.J., "Quantifying trends in system sustainability",  Vol. 42, No. 4, (1997), 513-530.