Technical Papers
Mar 3, 2012

Extension of Parametric Rule with the Hedging Rule for Managing Multireservoir System during Droughts

Publication: Journal of Water Resources Planning and Management
Volume 139, Issue 2

Abstract

In contrast to most common methods used in optimal control of reservoir systems requiring a large number of decision variables, parametric rule can make a radical reduction in the number of decision variables without yielding inferior solutions. However, parametric rule employs the standard operating policy to determine releases of reservoirs as much as demand only if there is enough water in the system, which may result in single periods of severe short supply during droughts. The purpose of this paper is to devise an operating rule for multireservoir system by combining parametric rule with the hedging rule to avoid catastrophic water shortage during droughts. In this way, decision variables to be optimized not only make a significant reduction compared with traditional operating rules, but also severe short supply during droughts can be controlled effectively. This paper employs a water supply multireservoir system in northern China to explore the changes of shortage characteristics produced by the proposed rule over a long horizon. In the case study, particle swarm optimization algorithms with a simulation model are used to optimize the decision variables. The results indicate that the extended parametric rule has a significant advantage over the classic parametric rule in dealing with the multireservoir operation problem during droughts.

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Acknowledgments

This research is supported by the Natural Sciences Foundation of China (71171151, 11201039) and the Ph.D. candidate’s self-research (including 1+4) program of Wuhan University in 2008 and 2012. The authors would also like to thank the anonymous reviewers for their review and valuable comments related to this manuscript.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 139Issue 2March 2013
Pages: 139 - 148

History

Received: Aug 9, 2011
Accepted: Feb 28, 2012
Published online: Mar 3, 2012
Published in print: Mar 1, 2013

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Authors

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Ph.D. Candidate, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Donghu Nanlu 8, Wuhan 430072, China. E-mail: [email protected]
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Donghu Nanlu 8, Wuhan 430072, China (corresponding author). E-mail: [email protected]
Xiang Zeng
Ph.D. Candidate, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Donghu Nanlu 8, Wuhan 430072, China.
Xinjie Li
Ph.D. Candidate, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Donghu Nanlu 8, Wuhan 430072, China.

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