Application of Cluster Analysis for Finding Operational Patterns of Multireservoir System during Transition Period
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 8
Abstract
Operational objectives and/or constraints of a reservoir system may need to be shifted at certain periods (i.e., transition periods) due to seasonal considerations of human interest and ecological benefits. Despite the fact that operational schemes in the transition periods are critical and of great interest to reservoir operation practice, the problem has received little attention in the literature. This paper presents a study on cluster analysis for identifying patterns of operational schemes during transition periods. The test case corresponds to ten major reservoirs of the Federal Columbia River Power System (FCRPS) in the United States. The operation horizon consists of two weeks during which the objectives of the reservoir system are shifted based on seasonal consideration for fish migration and survival. An optimization model based on an evolutionary algorithm is used to derive the optimal operational schemes under various inflow scenarios. A -Spectral Centroid algorithm () is applied to the resulting operational schemes to find clusters of the schemes based on similarities of their temporal shapes. By investigating the relations between the clusters and the inflow scenarios, general patterns of operational schemes are identified. The analyses offer insights into the operational schemes during the transition period and broaden the understanding of short-term reservoir operation with shifting operational objectives.
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Acknowledgments
This work was supported by the Bonneville Power Administration through projects TIP258 and TIP342. The first author would like to thank support from the National Natural Science Foundation of China (51425902, 51479188) and the Fundamental Research Funds for the Central Universities (CKSF2016009/SL). The authors also thank the anonymous reviewers for their insightful comments and suggestions.
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Published In
Journal of Water Resources Planning and Management
Volume 143 • Issue 8 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Mar 16, 2016
Accepted: Jan 6, 2017
Published online: Apr 12, 2017
Published in print: Aug 1, 2017
Discussion open until: Sep 12, 2017
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