DocumentCode :
478555
Title :
Short-Term Hydropower Optimal Scheduling of Multireservoir System Using a Decomposition Approach
Author :
Liu, Shuangquan ; Wang, Jinwen ; Liu, Zhong
Author_Institution :
Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
Volume :
6
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
565
Lastpage :
570
Abstract :
A decomposition approach combined with linear approximation method is applied to the short-term hydropower optimal scheduling (STHOS) problem of multireservoir system. The STHOS problem, which is a mixed, nonlinear and nonconvex optimization problem with discrete variables, is decomposed into a master programming problem and some sub programming problems in small scale, and the subproblems coordinate with each other through the master one. Then the STHOS problem is solved in a two-level optimization structure. The model developed in this study is capable of handling the complex objectives and constraints of STHOS, and also takes pump-storage plant into account. Simulation result demonstrates that the proposed approach is efficient.
Keywords :
approximation theory; concave programming; nonlinear programming; power generation scheduling; pumped-storage power stations; reservoirs; decomposition approach; discrete variable; linear approximation method; master programming problem; mixed nonlinear nonconvex optimization problem; multireservoir system; pump-storage plant; short-term hydropower optimal scheduling problem; sub programming problem; Energy storage; Hydroelectric power generation; Large-scale systems; Linear approximation; Linear programming; Optimal scheduling; Power generation; Power system modeling; Reservoirs; Water storage; decomposition; multireservoir; optimal Scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.468
Filename :
4667900
Link To Document :
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