Abstract
Optimal design and operation of a hydropower reservoir is a complex optimization problem in terms of formulation and solution. In this study, a simulation–optimization model is developed for simultaneous design and operation of hydropower dams. WEAP (Water Evaluation and Planning) as the water resources planning simulation software is coupled with the Invasive Weeds Optimization (IWO) as the optimization routine. The developed simulation–optimization model is used for the Bakhtiari Dam hydropower plant in west of Iran. Two objectives for solving the problem are to maximize the energy generation and minimize the flood damage at a downstream target point. Two types of problems are investigated. The first problem only considers the optimal design of the hydropower plan, in which the decision variables include the storage capacity, minimum operation storage of the reservoir and the installed capacity of the power plant while the releases from the reservoir are determined using a predefined operation policy. In the second problem, simultaneous design and operation of the hydropower reservoir is examined where in addition to the design variables, the reservoir releases are also optimized as the operational variables. According to the results, although considering flood damage does not have much effect on design variables, but significantly affects the operation variables. Results show that the optimization of the design variables has more impact on the benefit gained from the system comparing the operational ones. Also, the standard operating policy (SOP) is an optimal or near-optimal operational solution for hydropower generation.
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References
Afsharianzadeh N, Mousavi SJ (2016) Optimal design and operation of hydraulically coupled hydropower reservoirs system. Procedia Eng 154:1393–1400
Anagnostopoulos JS, Papantonis DE (2007) Optimal sizing of a run-of-river small hydropower plant. Energy Convers Manag 48(10):2663–2670
Asadieh B, Afshar A (2019) Optimization of water-supply and hydropower reservoir operation using the charged system search algorithm. J Hydrol 6(1):5
Azizpour M, Ghalenoie V, Afshar MH (2016) Optimal operation of hydropower reservoir systems using weed optimization algorithm. Water ResourManag 30(11):3995–4009
Hatamkhani A, Alizadeh H (2018) Clean-development-mechanism-based optimal hydropower capacity design. J Hydroinf 20(6):1401–1418
Hatamkhani A, Moridi A (2019) Multi-objective optimization of hydropower and agricultural development at river basin scale. Water Resour Manag 33(13):4431–4450
Hatamkhani A, Moridi A, Yazdi J (2020) A simulation–optimization models for multi-reservoir hydropower systems design at watershed scale. Renew Energy 149:253–263
Hreinsson EB (1990) Optimal sizing of projects in a hydro-based power system. IEEE Trans Energy Convers 5(1):32–38
Li F, Qiu J (2015) Multi-objective reservoir optimization balancing energy generation and firm power. Energies 8(7):6962–6976
Mehrabian AR, Lucas C (2006) A novel numerical optimization algorithm inspired from weed colonization. Ecol Inform 1(4):355–366
Mousavi SJ, Shourian M (2010) Capacity optimization of hydropower storage projects using particle swarm optimization algorithm. J Hydroinf 12:275–291
Najmaii M, Movaghar A (1992) Optimal design of run-of river power plants. Water Resour Res 28(4):991–997
Niu WJ, Feng ZK, Liu S, Chen YB, Xu YS, Zhang J (2021) Multiple hydropower reservoirs operation by hyperbolic grey wolf optimizer based on elitism selection and adaptive mutation. Water ResourManag 35(2):573–591
Rahi OP, Chandel AK, Sharma MG (2012) Optimization of hydropower plant design by particle swarm optimization (PSO). Procedia Eng 30:418–425
Sieber J, Purkey D (2012) WEAP User Guide. Stockholm Environment Institute
Si Y, Li X, Yin D, Liu R, Wei J, Huang Y, Li T, Liu J, Gu S, Wang G (2018) Evaluating and optimizing the operation of the hydropower system in the Upper Yellow River: a general LINGO-based integrated framework. PLoS ONE 13:e191483
Tan QF, Fang GH, Wen X, Lei XH, Wang X, Wang C, Ji Y (2020) Bayesian stochastic dynamic programming for hydropower generation operation based on copula functions. Water Resour Manag 34(5):1589–1607
Wu X, Huang X, Fang G, Kong F (2011) Optimal operation of multi-objective hydropower reservoir with ecology consideration. Water Resour Prot 3(12):904–911
Zhang X, Yu X, Qin H (2016) Optimal operation of multi-reservoir hydropower systems using enhanced comprehensive learning particle swarm optimization. J Hydro Environ Res 10:50–63
Zhao T, Zhao J, Yang D (2012) Improved dynamic programming for hydropower reservoir operation. J Water Resour Plan Manag 140(3):365–374
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by A. Hatamkhani and M. Shourian. The first draft of the manuscript was written by A. Hatamkhani. M. Shourian and A. Moridi read and approved the final manuscript.
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Hatamkhani, A., Shourian, M. & Moridi, A. Optimal Design and Operation of a Hydropower Reservoir Plant Using a WEAP-Based Simulation–Optimization Approach. Water Resour Manage 35, 1637–1652 (2021). https://doi.org/10.1007/s11269-021-02821-7
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DOI: https://doi.org/10.1007/s11269-021-02821-7