Case Studies
Apr 26, 2019

Optimized Scheduling of Cascade Pumping Stations in Open-Channel Water Transfer Systems Based on Station Skipping

Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 7

Abstract

Cascade pumping stations (CPSs) in open-channel water transfer systems usually consume vast amounts of energy and are expensive to operate. For these CPS systems, scheduling optimization is a critical approach to save energy. In this paper, an optimized scheduling method based on station skipping is proposed, in which the use of one or more pumping stations can be reduced and the allocation of the gross head to other stations is optimized. In this method, a one-dimensional hydrodynamic model and a complex optimization model were established. The Miyun Reservoir Regulation and Storage Project in Beijing was selected for a case study. The results indicate that (1) some stations with low heads could be skipped at low or medium discharges compared with the design discharge; and (2) the optimization scheme with skipping pumping stations has a more substantial energy-saving effect than that without skipping any stations under certain conditions. This proposed method makes it possible to save energy and reduce cost at low or medium required discharges in such CPS systems.

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Data Availability Statement

The following data, models, or code generated or used during the study are available from the corresponding author by request: Data related to the studied project (TH section); the hydrodynamic model for feasibility analysis of station skipping; the optimization model of the cascade pumping stations system; the code for generating the feasible domain of station skipping.

Acknowledgments

The work was supported by the National Key R&D Program of China (2017YFC0405900) and the National Natural Science Foundation of China (Grant Nos. 51609258, 51779268, and 51879273).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 145Issue 7July 2019

History

Received: Oct 4, 2018
Accepted: Dec 4, 2018
Published online: Apr 26, 2019
Published in print: Jul 1, 2019
Discussion open until: Sep 26, 2019

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Authors

Affiliations

Zhao Zhang
Ph.D. Student, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing 210098, China.
Xiaohui Lei [email protected]
Professor, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China (corresponding author). Email: [email protected]
Yu Tian
Senior Engineer, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
Lingling Wang
Professor, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing 210098, China.
Hao Wang
Professor, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
Kunpeng Su
Ph.D. Student, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing 210098, China.

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