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Water Resources Management

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31-08-2017

Maximizing the Firm Energy Yield Preserving Total Energy Generation Via an Optimal Reservoir Operation

Authors: Mehrdad Taghian, Iman Ahmadianfar

Published in: Water Resources Management | Issue 1/2018

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Abstract

As specified from the marketing standpoint, firm hydro-electrical energy must be available on an assured basis. To achieve the firm energy yield at maximum level, simultaneous optimization of operational variables is utilized. The variables include reservoir releases over historical stream-inflow records as well as the plant factor. Here, the plant factor denotes the percentage of day for operating a peak-time power plant at full capacity. To this end, a differential evaluation (DE) algorithm equipped with an indirect constraint handling is employed, in which an adaptive penalty system imposes the desirable reliability and preserves the total energy generation. To implement the model for a real example, a reservoir dam named Karun4, in southwest of Iran, is applied. The experimental results show the firm energy produced by the current and developed method are 49.2 and 127.5 (10⁹ watt hours), respectively. Also, the results reveal the maximum capability of generating the firm energy yield with target reliability whereas the total energy generation is preserving.

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Afshar A, Emami Skardia MJ, Masoumi F (2015) Optimizing water supply and hydropower reservoir operation rule curves: an imperialist competitive algorithm approach. Eng Optim 47(9):1208–1225CrossRef

Afzali R, Mousavi S, Ghaheri A (2008) Reliability-based simulation-optimization model for multireservoir hydropower systems operations: Khersan experience. Water Res Plan Manag 134(1):24–33CrossRef

Ahmadi M, Bozorg-Hadad O, Marino MA (2014) Extraction of flexible multi-objective real time reservoir operation rules. Water Resour Manag 28:131–147CrossRef

Ahmadianfar I, Adib A, Salarijazi M (2015) Optimizing multireservoir operation: hybrid of bat algorithm and differential evolution. J Water Resour Plan Manag 142(2):05015010CrossRef

Ahmadianfar I, Adib A, Taghian M (2016) Optimization of fuzzified hedging rules for multipurpose and multireservoir systems. J Hydrol Eng 21(4):05016003CrossRef

Ahmadianfar I, Samadi-Koucheksaraee A, Bozorg-Haddad O (2017) Extracting Optimal Policies of Hydropower Multi-Reservoir Systems Utilizing Enhanced Differential Evolution Algorithm. Water Resour Manag 1–23

Ahmadi-Najl A, Haghighi A, Vali Samani HM (2016) Simultaneous optimization of operating rules and rule curves for multireservoir systems using a self-adaptive simulation-GA model. J Water Resour Plan Manag 142(10):04016041

Bozorg-Haddad O, Afshar A, Mariño MA (2008) Design-operation of multi-hydropower reservoirs: HBMO approach. Water Resour Manag 22(12):1709–1722CrossRef

Bozorg-Haddad O, Karimirad I, Seifollahi-Aghmiuni S, Loáiciga HA (2014) Development and application of the bat algorithm for optimizing the operation of reservoir systems. J Water Resour Plan Manag 141(8):04014097CrossRef

Chang JF, Chen L, Chang CL (2005) Optimizing reservoir operating rule curves by genetic algorithms. Hydrol Process 19:2277–2289CrossRef

Chang JX, Bai T, Huang Q, Yang DW (2013) Optimization of water resource utilization by PSO-GA. Water Resour Manag 27:3525–3540CrossRef

Chen L, Mcphee J, Yeh WW-G (2007) A diversified multi-objective GA for optimizing reservoir rule curves. Adv Water Resour 30:1082–1093CrossRef

Cheng C, Wang W, Xu D (2008) Optimizing hydropower reservoir operation using hybrid genetic algorithm and chaos. Water Resour Manag 22(7):895–909CrossRef

Davidsen C, Pereira-Cardenal S, Liu S, Mo X, Rosbjerg D, Bauer-Gottwein P (2015) Using stochastic dynamic programming to support water resource Management in the Ziya River Basin, China. Water Res Plann Manag 141(7):04014086CrossRef

Erlon C, Edson L (2005) Solving the unit commitment problem of hydropower plants via Lagrangian relaxation and sequential quadratic programming. Comput Appl Math 24(3):317–341

Eum H, Kim Y, Palmer R (2011) Optimal drought management using sampling stochastic dynamic programming with a hedging rule. Water Res Plann Manag 137(1):113–122CrossRef

Fallah-Mehdipour E, Bozorg-Hadad O, Marino MA (2011) MOPSO algorithm and its application in multipurpose multi-reservoir operation. Hydro Inform 13:4.794–4.811

Guo X, Hu T, Wu C, Zhang T, Lv Y (2013) Multi-objective optimization of the proposed multi-reservoir operating policy using improved NSPSO. Water Resour Manag 27:2137–2153CrossRef

Heidari M, Chow VT, Kokotovic PV, Meredith DD (1971) Discrete differential dynamic programming approach to water resource system optimization. Water Resour Res 7(2):273–282CrossRef

Hidalgo I, Correia P, Arnold F, Estrocio J, de Barros R, Fernandes J, Yeh WW-G (2015) Hybrid model for short-term scheduling of hydropower systems. Water Res Plann Manag 141(3):04014062CrossRef

Jalali MR, Afshar A, Marino MA (2007) Multi-Colony ant algorithm for continuous multi-reservoir operation optimization problem. Water Resour Manag 21:9.1429–9.1447CrossRef

Ji C, Jiang Z, Sun P, Zhang Y, Wang L (2015) Research and application of multidimensional dynamic programming in Cascade reservoir based on multilayer nested structure. Water Res Plann Manag 141(7):04014090CrossRef

Jothiprakash V, Arunkumar R (2013) Optimization of hydropower reservoir using evolutionary algorithms coupled with chaos. Water Resour Manag 27(7):1963–1979CrossRef

Karamouz M, Houck MH (1987) Comparison of stochastic and deterministic dynamic programming for reservoir operation rule generation. Water Resour Bull 23(1):1–9CrossRef

Kjeldsen TR, Rosbjerg, D (2004) Choice of reliability, resilience and vulnerability estimators for risk assessments of water resources systems/Choix d’estimateurs de fiabilité, de résilience et de vulnérabilité pour les analyses de risque de systèmes de ressources en eau. Hydrol Sci J 49(5)

Labadie JW (2004) Optimal operation of multi-reservoir systems: state-of-the-art review. Water Res Plan Manag 130(2):93–111CrossRef

Louati MH, Benabdallah S, Lebdi F, Milutin D (2011) Application of a genetic algorithm for the optimization of a complex reservoir system in Tunisia. Water Resour Manag 25(10):2387–2404CrossRef

Madadgar S, Afshar A (2009) An improved continuous ant algorithm for optimization of water resources problems. Water Resour Manag 23:2119–2139CrossRef

Moeini R, Afshar A, Afshar MH (2011) Fuzzy rule-based model for hydropower reservoir operation. Elec Power Energ Syst 33:171–178CrossRef

Mousavi SJ, Shourian M (2010) Capacity optimization of hydropower storage projects using particle swarm optimization algorithm. J Hydroinf 12(3):275–291CrossRef

Murray DM, Yakowitz S (1979) Constrained differential dynamic programming and its application to multi-reservoir control. Water Resour Res 15(5):1017–1027CrossRef

Needham J, Watkins D, Lund J, Nanda K (2000) Linear programming for flood control in the Iowa and Des Moines River. Water Res Plann Manag 126(3):118–127CrossRef

Oliveira R, Loucks D (1997) Operating rules for multi-reservoir systems. Water Resour Res 33(4):839–852CrossRef

Ostadrahimi L, Marino MA, Afshar A (2012) Multi-reservoir operation rule: multi- swarm PSO based optimization approach. Water Resour Manag 26:407–427CrossRef

Randall D, Houck MH, Wright JR (1990) Drought management of existing water supply system. J Water Resour Plan Manag 116(1):1–20

Regulwar DG, Choudhari SA, Anand Raj P (2010) Differential evolution algorithm with application to optimal operation of multipurpose reservoir. Comput Civil Eng 2(6):560–568

Revelle C, Jores E, Kirby W (1969) The linear decision rule in reservoir management and design. 1: development of the stochastic model. Water Resour Res 5(4):767–777CrossRef

Rodrigues D, Pereira LAM, Nakamura RYM, Costa KAP, Yang X-S, Souza AN, Papa JP (2014) A wrapper approach for feature selection and optimum-path Forest based on bat algorithm. Expert Syst Appl 41(5):2250–2258CrossRef

Rosenthal RE (1981) A nonlinear network algorithm for maximization of benefits in a hydroelectric power system. Oper Res 29(4):763–786CrossRef

Schardong A, Simonovic S, Vasan A (2013) Multiobjective evolutionary approach to optimal reservoir operation. Comput Civil Eng 27(2):139–147CrossRef

Simonovic SP, Marino MA (1980) Reliability programming in reservoir management, 1, single multiple reservoir. Water Resour Res 16(5):844–848CrossRef

Storn R, Price K (1995) Differential Evolution a Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces. Technical Report, International Computer Science Institute, Berkley

Taghian M, Rosbjerg D, Haghighi A, Madsen H (2014) Optimization of conventional rule curves coupled with hedging rules for reservoir operation. Water Res Plan Manag 140(5):693–698CrossRef

Tayebiyan A, Mohammed Ali TA, Ghazali AH, Malek MA (2016) Optimization of exclusive release policies for hydropower reservoir operation by using genetic algorithm. Water Resour Manag 30(3):1203–1216CrossRef

Vasan A, Raju KS (2007) Application of differential evolution for irrigation planning: an Indian case study. Water Resour Manag 21(8):1393–1407CrossRef

Wang J, Zhang Y (2012) Short-term optimal operation of hydropower reservoirs with unit commitment and navigation. Water Res Plan Manag 138(1):3–12CrossRef

Wardlaw R, Sharif M (1999) Evaluation of genetic algorithms for optimal reservoir system operation. Water Res Plan Manag 125(1):25–33CrossRef

Wurbs RA (1993) Reservoir-system simulation and optimization models. Water Res Plan Manag 119(4):455–472CrossRef

Yang XS, He X (2013) Bat algorithm: literature review and applications. Bio-Inspired Comput 5(3):141–149CrossRef

Yeh WW-G (1985) Reservoir management and operation models: a state-of-the-art-review. Water Resour Res 21(12):1797–1818CrossRef

Yoo JH (2009) Maximization of hydropower generation through the application of a linear programming model. J Hydrol 376(1–2):182–187CrossRef

Zhao T, Cai X, Lei X, Wang H (2012) Improved dynamic programming for reservoir operation optimization with a concave objective function. Water Res Plan Manag 138(6):590–596CrossRef

Title: Maximizing the Firm Energy Yield Preserving Total Energy Generation Via an Optimal Reservoir Operation
Authors: Mehrdad Taghian
Iman Ahmadianfar
Publication date: 31-08-2017
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 1/2018
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-017-1800-9

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