Harmonious Allocation Model of the River Diversion Standard under Synchronous Construction of Hydropower Stations

Article Preview

Abstract:

It is incapable for current method to establish the diversion standard when two hydropower stations are constructed synchronously. Hence this paper studied it from the perspective of harmonious allocation with considering the balance between economy and safety. Firstly, the risk estimation model of each diversion system under such condition was established in which the composition theory of regional flood was introduced to calculate the changed flood and the Copula function was adopted to construct its probability distribution. On this basis, with treating the adjacent diversion system as a whole, the allocation model of the diversion standard was established in which the life cycle cost (LCC) was proposed as the evaluation index. Aimed at the minimum of the LCC of the serial diversion system, the optimum diversion standard combination was ascertained. Finally, an engineering case was presented to validate the feasibility and effectiveness of the proposed model. And the study can offer the theoretical basis and technical reference for the control of the construction flood in the development of the cascade hydropower station.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1082-1091

Citation:

Online since:

March 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Ren Jinming, Cai Jianguo, Hu Zhigen, et al. Impact of downstream reservoir on river diversion and closure for upstream cascade hydropower station [J]. Engineering Journal of Wuhan University, 2011, 44(3), 331-334. (in Chinese).

Google Scholar

[2] Xue Jinping, Hu Zhigen, Liu Quan. Risk decision of construction diversion schemes under condition of pre-discharge at cascade hydropower stations [J]. Journal of Hydroelectric Engineering, 2013, 32(5), 64-69 (in Chinese).

Google Scholar

[3] Fan Xi'e, Hu Zhigen, Jin Peng. Integrated risk of construction diversion system based on the Monte-Carlo method [J]. Advances in Water Science, 2007, 18(4), 604-608. (in Chinese).

Google Scholar

[4] Rasekh A, Afshar A, and Afshar M H. 2010. Risk-cost optimization of hydraulic structures: methodology and case study [J]. Water Resources Management, 24(11), 2833-2851.

DOI: 10.1007/s11269-010-9582-3

Google Scholar

[5] Afshar A, Rasekh A, Afshar M H. Risk-based optimization of large flood-diversion systems using genetic algorithms [J]. Engineering Optimization, 2009, 41(3), 259-273.

DOI: 10.1080/03052150802433213

Google Scholar

[6] Xue Jinping, Hu Zhigen, Liu Quan. Schemes optimization of construction diversion based on diversity of decision subject [J]. Engineering Journal of Wuhan University, 2012, 45(3), 282-284, 289 (in Chinese).

Google Scholar

[7] Lu B H, Gu H H, Xie Z Y, et al. Stochastic simulation for determining the design flood of cascade reservoir systems. Hydrology Research, 2012, 43(1-2), 54-63.

DOI: 10.2166/nh.2011.002

Google Scholar

[8] Huang Renyong, Tan Guangming, Fan Beilin. Mathematical modeling of sedimentation for joint operation of Cascade reservoirs in the upper Yangtze reaches [J]. Journal of Hydroelectric Engineering, 2012, 31(6), 143-148. (in Chinese).

Google Scholar

[9] Zheng Y, Fu X D, and Wei J H. Evaluation of power generation efficiency of cascade hydropower plants: a case study [J]. Energies, 2013, (6), 1165-1177.

DOI: 10.3390/en6021165

Google Scholar

[10] Zhang Chao, Hu Zhigen, Liu Quan. Risk analysis for construction diversion with discharge control of the upstream hydropower stations [J]. Journal of Hydraulic Engineering, 2012, 43(11), 1328-1333 (in Chinese).

Google Scholar

[11] Liu Quan, Hu Zhigen, Fan Wuyi, et al. The scheme optimization on construction diversion with discharge control feature of upstream operational reservoir [J]. Engineering Science, 2013, 10(4), 61-67.

Google Scholar

[12] Liu Lian, Hu Zhigen, Cui Jintie, et al. Risk compensation of construction diversion based on upstream flow control [J]. Journal of Hydraulic Engineering, 44(2), 2013, 243-249 (in Chinese).

Google Scholar

[13] Zhang Chao, Hu Zhigen, Liu Quan. Integrated risk analysis for the cascade of system diversion [J]. Advances in Water Science, 2012, 23(3), 396-402 (in Chinese).

Google Scholar

[14] Xue Jinping, Hu Zhigen, Liu Quan. Risk analysis of the river diversion under construction of cascade hydropower stations [J]. Journal of Sichuan University: Engineering Science Edition, 2014, 46(1), 75-80. (in Chinese).

Google Scholar

[15] Catalão J P S, Pousinho H M I, Mendes V M F. Mixed-integer nonlinear approach for the optimal scheduling of a head-dependent hydro chain [J]. Electric Power Systems Research, 2010, 80(8), 935-942.

DOI: 10.1016/j.epsr.2009.12.015

Google Scholar

[16] Zhang J, Wu Z, Cheng C T, Zhang S Q. Improved particle swarm optimization algorithm for multi-reservoir system operation [J]. Water Science and Engineering, 2011, 4(1), 61-73.

Google Scholar

[17] Ji C M, Zhou T, Huang H T. Establishment and evaluation of operation function model for cascade hydropower station. Water Science and Engineering [J], 2010, 3(4), 443-453.

Google Scholar

[18] Ministry of Water Resources of the People's Republic of China. SL44-2006 regulation for calculating design flood of water resources and hydropower projects [S]. Beijing: China Water Power Press, 2006. (in Chinese).

Google Scholar

[19] Barati R. Parameter estimation of nonlinear Muskingum models using nelder-mead simplex algorithm [J]. Journal of Hydrologic Engineering, 2011, 16(11), 946-954.

DOI: 10.1061/(asce)he.1943-5584.0000379

Google Scholar

[20] Xu Y, Zhang L M. Breaching parameters for earth and rockfill dams [J]. Journal of Geotechnical and Geoenvironmental Engineering, 2009, 135(12), 1957-(1970).

DOI: 10.1061/(asce)gt.1943-5606.0000162

Google Scholar

[21] Yan Baowei, Guo Shenglian, Guo Jing, et al. Comparative study of multivariate hydrological frequency analysis methods [J]. Engineering Journal of Wuhan University, 2009, 42(1), 10-15. (in Chinese).

Google Scholar

[22] Yan Baowei, Guo Shenglian, Guo Jing, et al. Regional design flood composition based on Copula function [J]. Journal of Hydroelectric Engineering, 2010, 29(6), 60-65 (in Chinese).

Google Scholar

[23] Huang Jinchi. Numerical modeling of flow through breach of landslide dams [J]. Journal of Hydraulic Engineering, 2008, 39(10), 1235-1240 (in Chinese).

Google Scholar

[24] Kuo J T, Yen B C, Hsu Y C, et al. Risk analysis for dam overtopping-Feitsui reservoir as a case study [J]. Journal of Hydraulic Engineering, 2007, 133(8), 955-963.

DOI: 10.1061/(asce)0733-9429(2007)133:8(955)

Google Scholar

[25] Li Yu, Guo Shenglian, Zhou Yanlai, et al. Optimal flood control operation for the cascade reservoirs considering stochastic reservoir inflow hydrograph [J]. Journal of Sichuan University: Engineering Science Edition, 2012, 44(6), 13-20. (in Chinese). Cha E J, Ellingwood B R. Risk-aversion decision-making for civil infrastructure exposed to low-probability, high-consequence events [J]. Reliability Engineering and System Safety, 2012, 104, 27-35.

DOI: 10.1016/j.ress.2012.04.002

Google Scholar