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Optimization Operation Model Coupled with Improving Water-Transfer Rules and Hedging Rules for Inter-Basin Water Transfer-Supply Systems

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Abstract

Due to the great complexity and the nonlinear and dynamic characteristics of joint optimization operations in inter-basin water transfer-supply systems (IBWTS), rational operating rules (water-transfer rules and hedging rules) are essential in water resources management at the planning stage. Currently, the water-transfer rules in optimization operation model are not reasonable as there is only one water-transfer rule curves for each recipient reservoir, so that they cannot reflect the refined water transfer especially when there is a small water shortage. Therefore, the purpose of this study is mainly to develop new water-transfer rules to improve the effectiveness of water transfer. That is, upper-and-lower water-transfer rule curves for each recipient reservoir and one water-transfer rule curve for one donor reservoir are developed to make water-transfer decisions. In the proposed rule, water transfer involves a combined decision-making process in consideration of water storages of both the recipient and donor reservoirs. Most importantly, when there is less water shortage in recipient reservoirs, the actual transferred water is no more than the water flow interpolated within the designed delivery capacity instead of only the designed delivery capacity in other existing rules. Because it is an interactive process of water transfer and water supply in the IBWTS operations, operation models coupled with the improving water-transfer rules and hedging rules are established for solving the operation problems. Finally, a North-line IBWTS located in Liaoning Province in China is employed as a case study. And a coarse-grained parallel PSO algorithm with a simulation model is employed for effectively deriving the operating rule curves (water-transfer and hedging rule curves). The operation results show that the proposed rule-based operation model are reasonable and can significantly reduce water transfer with less influence on the water-supply capability than other existing operating rules.

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References

  • Afshar MH (2013) Extension of the constrained particle swarm optimization algorithm to optimal operation of multi-reservoirs system. Elect Power Energy Syst 51:71–81

    Article  Google Scholar 

  • Bower BT, Hufschmidt MM, Reedy WW (1966) Operating procedures: their role in the design of water-resource systems by simulation analyses. Des Water-Resour Syst 21:443–458

    Google Scholar 

  • Chang LC, Chang FJ (2009) Multi-objective evolutionary algorithm for operating parallel reservoir system. J Hydrol 377(1–2):12–20

  • Chang JF, Chu SC, Roddick JF, Pan JS (2005) A parallel particle swarm optimization algorithm with communication strategies. J Inf Sci Eng 21(4):809–818

    Google Scholar 

  • Chang LC, Chang FJ, Wang KW, Dai SY (2010) Constrained genetic algorithms for optimizing multi-use reservoir operation. J Hydrol 390(1–2):66–74

  • Chen L (2003) Real coded genetic algorithm optimization of long term reservoir operation. J Am Water Resour Assoc 39(5):1157–1165

    Article  Google Scholar 

  • Clark EJ (1956) Impounding reservoirs. Am Water Works Assoc 48(4):349–354

    Google Scholar 

  • Guo XN, Hu TS, Zhang T, Lv YB (2012) Bilevel model for multi-reservoir operating policy in inter-basin water transfer-supply project. J Hydrol 424:252–263

    Article  Google Scholar 

  • Guo XN, Hu TS, Wu CL, Zhang T, Lv YB (2013) Multi-objective optimization of the proposed multi-reservoir operating policy using improved NSPSO. Water Resour Manag 27(7):2137–2153

  • Jiang Y, Liu CM, Huang CC, Wu XN (2010) Improved particle swarm algorithm for hydrological parameter optimization. Appl Math Comput 217(7):3207–3215

    Article  Google Scholar 

  • Kumar DN, Reddy MJ (2007) Multipurpose reservoir operation using particle swarm optimization. Water Resour Plann Manag 133(3):192–201

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Li YP, Tang CY, Wang C, Tian W (2013) Assessing and modeling impacts of different inter-basin water transfer routes on Lake Taihu and the Yangtze River, China. Ecol Eng 60:399–413

    Article  Google Scholar 

  • Liu P, Guo SL, Xu XW, Chen JH (2011) Derivation of aggregation-based joint operating rule curves for cascade hydropower reservoirs. Water Resour Manag 25(13):3177–3200

    Article  Google Scholar 

  • Maass A, Hufschmidt MM, Dorfman R, Thomas HA Jr, Marglin SA, Fair GM (1962) Design of water resources systems. Harvard University Press, Cambridge

    Book  Google Scholar 

  • Malekmohammadi B, Kerachian R, Zahraie B (2009) Developing monthly operating rules for a cascade system of reservoirs: application of Bayesian networks. Environ Model Softw 24(12):1420–1432

    Article  Google Scholar 

  • Neelakantan TR, Pundarikanthan NV (1999) Hedging rule optimisation for water supply reservoirs system. Water Resour Manag 13(6):409–426

    Article  Google Scholar 

  • Neelakantan TR, Pundarikanthan NV (2000) Neural network-based simulation-optimization model for reservoir operation. J Water Resour Plann Manag 126(2):57–64

    Article  Google Scholar 

  • Ngoc TA, Hiramatsu K, Harada M (2014) Optimizing the rule curves of multi-use reservoir operation using a genetic algorithm with a penalty strategy. Paddy Water Environ 12(1):125–137

  • Nikoo MR, Kerachian R, Poorsepahy-Samian H (2012) An interval parameter model for cooperative inter-basin water resources allocation considering the water quality issues. Water Resour Manag 26(11):3329–3343

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Ostadrahimi L, Mariño MA, Afshar A (2012) Multi-reservoir operation rules: multi-swarm PSO-based optimization approach. Water Resour Manag 26(2):407–427

    Article  Google Scholar 

  • Peng AB, Peng Y, Zhou HC, Zhang C (2014) Multi-reservoir joint operating rule in inter-basin water transfer-supply project.  Sci China Tech Sci 58(1):123–137

  • ReVelle C, Joeres E, Kirbt W (1969) The linear decision rule in reservoir management and design: I. Development of the stochastic model. Water Resour Res 5(4):767–777

    Article  Google Scholar 

  • Sadegh M, Mahjouri N, Kerachian R (2010) Optimal inter-basin water allocation using crisp and fuzzy shapley games. Water Resour Manag 24(10):2291–2310

  • Shiau JT (2009) Optimization of reservoir hedging rules using multiobjective genetic algorithm. J Water Resour Plann Manag 135(5):355–363

    Article  Google Scholar 

  • Shiau JT, Lee HC (2005) Derivation of optimal hedging rules for a water-supply reservoir through compromise programming. Water Resour Manag 19(2):111–132

    Article  Google Scholar 

  • Shih JS, ReVelle C (1994) Water-supply operations during drought: continuous hedging rule. J Water Resour Plann Manag 120(5):613–629

    Article  Google Scholar 

  • Shih JS, ReVelle C (1995) Water supply operations during drought: a discrete hedging rule. Eur J Oper Res 82(1):163–175

  • Shourian M, Mousavi SJ, Tahershamsi A (2008) Basin-wide water resources planning by integrating PSO algorithm and MODSIM. Water Resour Manag 22(10):1347–1366

    Article  Google Scholar 

  • Stedinger JR, Loucks DP (1982) Reliability, resiliency, and vulnerability criteria for water resources system performance evaluation. Water Resour Res 18(1):14–20

    Article  Google Scholar 

  • Tang Y, Reed PM, Kollat JB (2007) Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications. Adv Water Resour 30(3):335–353

    Article  Google Scholar 

  • Tu KY, Liang ZC (2011) Parallel computation models of particle swarm optimization implemented by multiple threads. Expert Syst Appl 38(5):5858–5866

    Article  Google Scholar 

  • Tu M, Hsu N, Yeh W (2003) Optimization of reservoir management and operation with hedging rules. Water Resour Plann Manag 129(2):86–97

    Article  Google Scholar 

  • Tu M, Hsu N, Tsai F (2008) Optimization of hedging rules for reservoir operations. Water Resour Plann Manag 134(1):3–13

    Article  Google Scholar 

  • Waintraub M, Schirru R, Pereira CMNA (2009) Multiprocessor modeling of parallel particle swarm optimization applied to nuclear engineering problems. Prog Nucl Energ 51(6–7):680–688

  • Wang S, Cheng CT, Wu XY, Li BJ (2014) Parallel stochastic dynamic programming for long-term generation operation of cascaded hydropower. Sci Chin Technol Sci 44(2):209–218

    Google Scholar 

  • Xi SF, Wang BD, Liang GH, Lou LL (2010) Inter-basin water transfer-supply model and risk analysis with consideration of rainfall forecast information. Sci Chin Technol Sci 53(12):3316–3323

    Article  Google Scholar 

  • You JY, Cai XM (2008) Hedging rule for reservoir operations: 1. A theoretical analysis. Water Resour Res 44(1):W01415. doi:10.1029/2006WR005481

  • Zeng X, Hu TS, Guo XN, Li XJ (2014) Water transfer triggering mechanism for multi-reservoir operation in inter-basin water transfer-supply project. Water Resour Manag 28(5):1293–1308

    Article  Google Scholar 

  • Zhang C, Wang GL, Peng Y, Tang GL, Liang GH (2012) A negotiation-based multi-objective, multi-party decision-making model for inter-basin water transfer scheme optimization. Water Resour Manag 26(14):4029–40382

    Article  Google Scholar 

  • Zhu XP, Zhang C, Yin JX, Zhou HC (2013) Optimization of water diversion based on reservoir operating rules: an analysis of the Biliu River reservoir. J Hydrol Eng 19(2):411–421

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the Major International (Regional) Cooperation Project (Grant No. 51320105010) and the National Natural Science Foundation of China (Grant No. 51379027, 51109025, 51409043).

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Authors and Affiliations

  1. School of Hydraulic Engineering, Dalian University of Technology, Dalian, Liaoning, 116023, People’s Republic of China

    Yong Peng, Jinggang Chu & Huicheng Zhou

  2. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210029, People’s Republic of China

    Anbang Peng

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  1. Yong Peng
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  2. Jinggang Chu
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  3. Anbang Peng
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  4. Huicheng Zhou
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Correspondence to Anbang Peng.

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Peng, Y., Chu, J., Peng, A. et al. Optimization Operation Model Coupled with Improving Water-Transfer Rules and Hedging Rules for Inter-Basin Water Transfer-Supply Systems. Water Resour Manage 29, 3787–3806 (2015). https://doi.org/10.1007/s11269-015-1029-4

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  • DOI: https://doi.org/10.1007/s11269-015-1029-4

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