Optimization of Cascade Pumping Stations’ Operations Based on Head Decomposition–Dynamic Programming Aggregation Method Considering Water Level Requirements
Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 7
Abstract
Aiming at the minimum power consumption for water pumping in a cascade pumping station system, we established a complex nonlinear mathematical model by taking optimized lift head and blade angle (or speed) of pump units as decision variables. The on-site optimal operation mode conforming to single-station water restriction was obtained by water decomposition–dynamic programming aggregation solution of the optimal operation model of pump stations under different discrete heads. After that, the constraint of total system lift head was considered. By taking lift heads of pump stations as decision variables, the original model was transformed into a one-dimensional dynamic programming aggregation model, which was solved by dynamic programming method. Through numerical simulation of unsteady flow in an interstage water channel, the optimal head distribution was modified to obtain optimal head distribution and unit optimization operation modes of pumping stations.
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Acknowledgments
This work was supported by the 12th Five-Year National Science and Technology Support Project (2015BAB07B01); the 57th Batch of China Postdoctoral Science Foundation Funded Project (2015M571826); Young Fund of Jiangsu Province Natural Science Foundation of China (BK20130446); Yangzhou University Science and Technology Innovation Fund in 2015 (2015CJX025).
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Published In
Journal of Water Resources Planning and Management
Volume 144 • Issue 7 • July 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Jul 23, 2017
Accepted: Jan 17, 2018
Published online: May 14, 2018
Published in print: Jul 1, 2018
Discussion open until: Oct 14, 2018
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