Volume 3 Issue 4
Dec.  2010
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Article Navigation >  Water Science and Engineering  > 2010  >  3(4): 443-453
Chang-ming JI, Ting ZHOU, Hai-tao HUANG. 2010: Establishment and evaluation of operation function model for cascade hydropower station. Water Science and Engineering, 3(4): 443-453. doi: 10.3882/j.issn.1674-2370.2010.04.007
Citation: Chang-ming JI, Ting ZHOU, Hai-tao HUANG. 2010: Establishment and evaluation of operation function model for cascade hydropower station. Water Science and Engineering, 3(4): 443-453. doi: 10.3882/j.issn.1674-2370.2010.04.007
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Establishment and evaluation of operation function model for cascade hydropower station

doi: 10.3882/j.issn.1674-2370.2010.04.007
  • 1.

    Business Administration School, North China Electric Power University, Beijing 102206, P. R. China

  • 2.

    Renewable Energy School, North China Electric Power University, Beijing 102206, P. R. China

Funds:  This work was supported by the National Natural Science Foundation of China (Grant No. 40971300), and the Fundamental Research Funds for the Central Universities (Grant No.10QX43).
More Information
  • Corresponding author: Ting ZHOU
  • Received Date: 2010-09-27
  • Rev Recd Date: 2010-11-24
    Abstract
  • Toward solving the actual operation problems of cascade hydropower stations under hydrologic uncertainty, this paper presents the process of extraction of statistical characteristics from long-term optimal cascade operation, and proposes a monthly operation function algorithm for the actual operation of cascade hydropower stations through the identification, processing, and screening of available information during long-term optimal operation. Applying the operation function to the cascade hydropower stations on the Jinshajiang-Yangtze River system, the modeled long-term electric generation is shown to have high precision and provide benefits. Through comparison with optimal operation, the simulation results show that the operation function proposed retains the characteristics of optimal operation. Also, the inadequacies and attribution of the algorithm are discussed based on case study, providing decision support and reference information for research on large-scale cascade operation work.

     

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    • References(16)
  • Ding, J. H. 2005. Study on Long-term Operation Rule of Hydroelectric Station System. M. E. Dissertation. Wuhan: Wuhan University. (in Chinese)
    Esogbue, A. O., and Liu, B. D. 2006. Reservoir operations optimization via fuzzy criterion decision processes. Fuzzy Optimization and Decision Making, 5(3), 289-305. [doi: 10.1007/s10700-006-0015-y]
    Huang, S., and Liang, C. 2006. Downscaling analysis of runoff based on the model integrating phase space reconstruction and artificial neural network. Resources and Environment in the Yangtze Basin, 15(4), 527-530. (in Chinese)
    Ji, C. M., Su, X. L., Zhou, T., Huang, H. T., and Wang, L. P. 2010. Model establishment and evaluation of operation function for cascade reservoirs. Automation of Electric Power Systems, 34(3), 33-37. (in Chinese)
    John, W. L. 2004. Optimal operation of multireservoir systems: State-of-the-art review. Journal of Water Resources Planning and Management, 130(2), 93-111. [doi: 10.1061/(ASCE)0733-9496(2004)130:2(93)]
    Li, C. J., Chen, B. S., and Zhang, G. F. 2005. Study on bilinear dispatching rule of hydropower station. Journal of Hydroelectric Engineering, 24(1), 11-15, 46. (in Chinese)
    Li, H., Lian, J. J., and Wang, X. J. 2008. Stepwise regression model for daily runoff prediction based on wavelet decomposition. Journal of Hydraulic Engineering, 39(12), 1334-1339. (in Chinese)
    Liu, P., Guo, S. L., Pang, B., Wang, C. J., and Zhang, H. G. 2006. A modified approach for deriving storage operating rules of the Three Gorges Reservoir with artificial neural network. Journal of Hydroelectric Engineering, 25(2), 83-89. (in Chinese)
    Lu, H. Y., and Guo Y. Y. 1998. Study on applying multi-stratum recursive regression analysis to formulate operation function of reservoir. Journal of Hydraulic Engineering, 29(12), 71-76. (in Chinese)
    Luo, S. B., Dong, W., Xu, L., and Song, S. D. 2008. Application of stepwise regression method in flood level forecast of the lower Yellow River. Water Resources and Hydropower of Northeast China, 26(292), 50-52. (in Chinese)
    Wardlaw, R., and Sharif, M. 1999. Evaluation of genetic algorithms for optimal reservoir system operation. Journal of Water Resources Planning and Management, 125(1), 25-33. [doi:10.1061/(ASCE)0733-9496 (1999)125:1(25)]
    Wu, Y. Q. 2009. Study on Optimal Operation of Jinshajiang Cascade Hydropower Stations. M. E. Dissertation. Beijing: North China Electricity Power University. (in Chinese)
    Zhang, M. 2004. Study on the Reservoir Operation Chart of Hydropower Station and Short-Term Optimal Operation. M. E. Dissertation. Wuhan: Wuhan University. (in Chinese)
    Zhao, X. H., Huang, Q., and Wu, J. H. 2009. Application of ant colony algorithm for economic operation of hydropower station. Journal of Hydroelectric Engineering, 28(2), 139-142. (in Chinese)
    Zhou, T. 2009. Dispatch Function and Future Electricity Decomposition Research in Cascade Hydropower Station. M. E. Dissertation. Beijing: North China Electricity Power University. (in Chinese)
    Zhou, W. L., Qiu, H. Z., and Yin, Z. H. 2009. Optimization of fuzzy decision tree with multiattribute based on genetic algorithm. Computer Engineering and Applications, 45(3), 148-151. (in Chinese)
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