Hydraulic Optimization Control of Cascaded Open Channel under the Emergency Scenario of a Downstream Water Supply Interruption
Publication: Journal of Water Resources Planning and Management
Volume 149, Issue 7
Abstract
Downstream water supply disruption accidents commonly occur in the large-scale cascade open-channel dispatching system, endangering dispatch safety. The emergency reaction requires active drainage water volume and cost control. This research introduces a simulation optimization emergency response optimization control model using enhanced one-dimensional hydrodynamic simulation and multiobjective particle swarm optimization (MOPSO), verifying the Gangtou Gate–Beijuma Gate section (GB section) of the Middle Route Project of South-to-North Water Diversion in China. In the downstream large-flow water supply interruption scenario, we explore regulation possibilities for optimization elements, including drainage water volume, regulation frequency, and regulation interval. The optimization of the drainage water volume significantly raises the regulation frequency of the sluice when the regulation interval is fixed. The drainage water volume can be balanced and optimized, and the frequency of sluice control can be decreased, by increasing the regulation interval. The emergency response optimization control model may minimize the regulation frequency by 80% and the drainage water volume by 32.6% compared with the benchmark scheduling approach in emergencies. The model provides superior economic and applicable effects for emergency reactions to the downstream water supply disruption, with similar advantages feasible for other cascade open-channel scheduling systems.
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Data Availability Statement
All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This paper was supported by the Key R&D Program of the China Huaneng Group Co., Ltd. (HNKJ20-H26), the basic research business fees of China Academy of Water Resources and Hydropower Research (01882106), and the National Natural Science Foundation of China (52009119). Thanks to Xiaohui Lei from the China Institute of Water Resources and Hydropower Research and Lingzhong Kong from Yangzhou University for supporting the data and model.
Author contributions: Yueqiang Li contributed to the methodology, data curation, writing the original draft, preparation, and validation. Zhao Zhang contributed to the methodology and code. Lingzhong Kong contributed to the conceptualization, methodology, and supervision. Xiaohui Lei contributed to the supervision. Jie Zhu contributed to the supervision. Hanyuan Li contributed to the code guidance. Yilin Wang contributed to the data. Rong Cao contributed to the supervision.
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Published In
Journal of Water Resources Planning and Management
Volume 149 • Issue 7 • July 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Jun 4, 2022
Accepted: Feb 22, 2023
Published online: May 13, 2023
Published in print: Jul 1, 2023
Discussion open until: Oct 13, 2023
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