Chance-Constrained Optimal Hedging Rules for Cascaded Hydropower Reservoirs
Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 7
Abstract
A multiobjective model with chance constraints is proposed to obtain hedging rules for hydropower reservoirs based on initial reservoir operating rules derived using stochastic dynamic programming. In the model, hedging rules are evaluated through simulations and the maximizations of minimum powers in simulation horizon of hydropower reservoirs are taken as objectives. The maximum-minimum objectives are substituted by aggregated functions. A genetic algorithm is used to solve the model, with a fuzzy optimal method evaluating the individuals. A case study shows that the proposed approach is feasible and efficient to produce a series of hedging rules with different reliability levels, and valuable to balance the magnitudes of generation below firm power and the chances of such events.
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Acknowledgments
The research work described in this paper is supported by National Science Fund for Distinguished Young Scholars (No. 51025934) and Natural Science Foundation of China (No. 51109024 and No. 51210014). The writers gratefully acknowledge senior engineer Guo Youan and engineer Zhou Yi of Cascade Control Center of the Huaneng Lancang River Hydropower Co., Ltd., who suggested modifications and improvements to the work described in this paper.
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Information & Authors
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Published In
Journal of Water Resources Planning and Management
Volume 140 • Issue 7 • July 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: May 26, 2012
Accepted: Dec 11, 2013
Published online: Dec 13, 2013
Published in print: Jul 1, 2014
Discussion open until: Sep 2, 2014
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