Volume 7 Issue 4
Oct.  2014
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Hong-bin FANG, Tie-song HU, Xiang ZENG, Feng-yan WU. 2014: Simulation-optimization model of reservoir operation based on target storage curves. Water Science and Engineering, 7(4): 433-445. doi: 10.3882/j.issn.1674-2370.2014.04.008
Citation: Hong-bin FANG, Tie-song HU, Xiang ZENG, Feng-yan WU. 2014: Simulation-optimization model of reservoir operation based on target storage curves. Water Science and Engineering, 7(4): 433-445. doi: 10.3882/j.issn.1674-2370.2014.04.008

Simulation-optimization model of reservoir operation based on target storage curves

doi: 10.3882/j.issn.1674-2370.2014.04.008
Funds:  This work was supported by the National Natural Science Foundation of China (Grants No. 51339004 and 71171151).
More Information
  • Corresponding author: Tie-song HU
  • Received Date: 2014-01-13
  • Rev Recd Date: 2014-08-05
  • This paper proposes a new storage allocation rule based on target storage curves. Joint operating rules are also proposed to solve the operation problems of a multi-reservoir system with joint demands and water transfer-supply projects. The joint operating rules include a water diversion rule to determine the amount of diverted water in a period, a hedging rule based on an aggregated reservoir to determine the total release from the system, and a storage allocation rule to specify the release from each reservoir. A simulation-optimization model was established to optimize the key points of the water diversion curves, the hedging rule curves, and the target storage curves using the improved particle swarm optimization (IPSO) algorithm. The multi-reservoir water supply system located in Liaoning Province, China, including a water transfer-supply project, was employed as a case study to verify the effectiveness of the proposed join operating rules and target storage curves. The results indicate that the proposed operating rules are suitable for the complex system. The storage allocation rule based on target storage curves shows an improved performance with regard to system storage distribution.

     

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  • Brandão, J. L. B. 2010. Performance of the equivalent reservoir modelling technique for multi-reservoir hydropower systems. Water Resources Management, 24(12), 3101-3114. [doi:10.1007/s11269 -010-9597-9]
    Chau, K. W., Wu, C. L., and Li, Y. S. 2005. Comparison of several flood forecasting models in Yangtze River. Journal of Hydrologic Engineering, 10(6), 485-491. [doi: 10.1061/(ASCE)1084-0699(2005)10:6(485)]
    Chen, W., and Chau, K. W. 2006. Intelligent manipulation and calibration of parameters for hydrological models. International Journal of Environment and Pollution, 28(3-4), 432-447. [doi:10.1504/ IJEP.2006.011221]
    Cheng, C. T., Shen, J. J., Wu, X. Y., and Chau, K. W. 2012. Short-term hydroscheduling with discrepant objectives using multi-step progressive optimality algorithm. JAWRA Journal of the American Water Resources Association, 48(3), 464-479. [doi: 10.1111/j.1752-1688.2011.00628.x]
    Guo, X. N., Hu, T. S., Zeng, X., and Li, X. J. 2011a. Two-dimensional scheduling chart for jointly water-supply operation of dual-reservoir systems. Journal of Huazhong University of Science and Technology (Nature Science Edition), 39(10), 121-124. (in Chinese).
    Guo, X. N., Hu, T. S., Huang, B., and Han, Y. C. 2011b. Joint operation rules for multi-reservoir water supply system based on the model of simulation and optimization. Journal of Hydraulic Engineering, 42(6), 705-712. (in Chinese).
    Jiang, Y., Hu, T. S., Huang, C. C., and Wu, X. N. 2007. An improved particle swarm optimization algorithm. Applied Mathematics and Computation, 193(1), 231-239. [doi: 10.1016/j.amc.2007.03.047]
    Kennedy, J., and Eberhart, R. 1995. Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks, 1942-1948. Washington, D.C.: IEEE Press. [doi:10.1109/ ICNN.1995.488968]
    Li, X. S., Wang, B. D., Mehrotra, R, Sharma, A, and Wang, G. L. 2009. Consideration of trends in evaluating inter-basin water transfer alternatives within a fuzzy decision making framework. Water Resources Management, 23(15), 3207-3220. [doi: 10.1007/s11269-009-9430-5]
    Lund, J. R., and Ferreira, I. 1996. Operating rule optimization for Missouri River reservoir system. Journal of Water Resources Planning and Management, 122(4), 287-295. [doi:10.1061/(ASCE)0733-9496 (1996)122: 4(287)]
    Lund, J. R., and Guzman, J. 1999. Derived operating rules for reservoirs in series or in parallel. Journal of Water Resources Planning and Management, 125(3), 143-153. [doi:10.1061/(ASCE)0733-9496 (1999)125:(143)]
    Oliveira, R., and Loucks, D. P. 1997. Operating rules for multireservoir systems. Water Resources Research, 33(4), 839-852. [doi: 10.1029/96WR03745]
    Perera, B. J. C., and Codner, G. P. 1996. Reservoir targets for urban water supply systems. Journal of Water Resources Planning and Management, 122(4), 270-279. [doi:10.1061/(ASCE)0733 -9496(1996)122:4(270)]
    Sadegh, M., Mahjouri, N., and Kerachian, R. 2010. Optimal inter-basin water allocation using crisp and fuzzy Shapley games. Water Resources Management, 24(10), 2291-2310. [doi: 10.1007/s11269-009-9552-9]
    Sui, X., Wu, S. N., Liao, W. G., Jin, T. T., and Zhang, X. 2013. Optimized operation of cascade reservoirs on Wujiang River during 2009-2010 drought in southwest China. Water Science and Engineering, 6(3), 308-316. [doi:10.3882/j.issn.1674-2370. 2013.03.007]
    Tu, M. Y., Hsu, N. S., and Yeh, W. W. G. 2003. Optimization of reservoir management and operation with hedging rules. Journal of Water Resources Planning and Management, 129(2), 86-97. [doi:10.1061/ (ASCE)0733-9496(2003)129:2(86)]
    Wu, R. S. 1988. Derivation of Balancing Curves for Multiple Reservoir Operation. M. E. Dissertation. New York: Cornell University.
    Xie, W., Ji, C. M., Yang, Z. J., and Zhang, X. X. 2012. Short-term power generation scheduling rules for cascade hydropower stations based on hybrid algorithm. Water Science and Engineering, 5(1), 46-58. [doi:10.3882/j.issn.1674-2370. 2012.01.005]
    Xi, S. F., Wang, B. D., Liang, G. H., Li, X. S., and Lou, L. L. 2010. Inter-basin water transfer-supply model and risk analysis with consideration of rainfall forecast information. Science China Technological Sciences, 53(12), 3316-3323. [doi: 10.1007/s11431-010-4170-6]
    Zeng, X., Hu, T. S., Guo, X. N., and Li, X. J. 2014. Water transfer triggering mechanism for multi-reservoir operation in inter-basin water transfer-supply project. Water Resources Management, 28(5), 1293-1308. [doi: 10.1007/s11269-014-0541-2]
    Zhang, J., Wu, Z., Cheng, C. T., and Zhang, S. Q. 2011. Improved particle swarm optimization algorithm for multi-reservoir system operation. Water Science and Engineering, 4(1), 61-73. [doi:10.3882/j.issn.1674- 2370.2011. 01.006]
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