The Optimal Operation of Super High Head Hydropower Station with Multiple Water Supply Modes

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In order to improve the power generation benefit of the Tianhu Hydropower Station, a optimal operation model of the water supply system of the power station is built to maximize the gross electric energy generated. The model takes into consideration that Tianhu Hydropower Station has multiple water supply modes and is characterized by its super-high water head, and that any small change on flow control may bring great impact on the output of the power station. Based on existing hydrological data and the optimal scheduling model, the optimized results are calculated and made to optimization curves. These optimization curves are used to guide the operation of the hydropower station. Years of actual practices demonstrated that operating Tianhu Hydropower Station under the guidance of the optimal reservoir group operation model presented in this paper has brought in significant economic benefits, with an annual increase in power generation income of more than eight million yuan.

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536-543

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Simonovic S P. Reservoir systems analysis: closing gap between theory and practice. Journal of Water Resource Planning and Management, 118(3), 262–280 (1992).

DOI: 10.1061/(asce)0733-9496(1992)118:3(262)

Google Scholar

[2] Wurbs R A. Resercoir system simulation and optimization models. Journal of Water Resource Planning and Management, 119(4), 455–472(1993).

Google Scholar

[3] JOHN W L. Operation of Multireservoir Systems: State-of the-Art Review. Journal of water Resources Planing and Management, 130(2), 93–110(2004).

Google Scholar

[4] Oliveira R, Locks D P. Operating rules for multireservoir systems. Water Resource, 33(4), 839–852(1999).

Google Scholar

[5] Lamond B F. Stochastic optimization of a hydroelectric reservoir using piecewise polynomial approximations. INFOR, 41 (1), 51–69(2003).

DOI: 10.1080/03155986.2003.11732668

Google Scholar

[6] Lamia Belfares, Walid K1ibi, Nassirou Lo. Adel Guitou-ni. Multi-objectives Tabu Search Based Algorithm for Progressive Resource Allocation. European Journal of Opeartional Research, 8, (2006).

DOI: 10.1016/j.ejor.2005.10.012

Google Scholar

[7] Arnold E, Tatjewski O, Wolochowicz P. Two Methods for Large-scale Nonlinear Optimization and Their Comparison on a Case Study of Hydropower Optimization, Journal of Optimization Theory Applications, 81 (2), 221–248 (1994).

DOI: 10.1007/bf02191662

Google Scholar

[8] Ma R Y. The Application of probabilistic calculus method in the management of reservoir, Eighth International Symposium on Stochastic Hydraulics Beijing. 25-28(2000).

Google Scholar