Optimal Scheduling Model for Flood Control of Xin anjiang Reservoir based on IGWO Considering Reservoir Gate Scheduling

Jiaming Liu; Lizheng Chen; Chengwei Lu; Lu Chen; Fanqian Liu; Yazhong Wu

doi:10.2991/978-94-6463-728-1_76

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Optimal Scheduling Model for Flood Control of Xin anjiang Reservoir based on IGWO Considering Reservoir Gate Scheduling

Authors

Jiaming Liu¹^{, 2}, Lizheng Chen⁴^{, 5}^{, *}, Chengwei Lu¹^{, 2}^{, 3}, Lu Chen⁴^{, 5}^{, 6}^{, *}, Fanqian Liu⁴^{, 5}, Yazhong Wu⁴^{, 5}

¹Changjiang Survey, Planning, Design and Research Co., Ltd., Wuhan, 430010, China

²Key Laboratory of Basin Water Security of Hubei Provice, Wuhan, 430010, China

³Intelligent Yangtze River Innovation Team, Wuhan, 430010, China

⁴School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

⁵Hubei Key Laboratory of Digital Valley Science and Technology, Wuhan, 430074, China

⁶School of Water Resources and Civil Engineering, Tibet Agricultural and Animal Husbandry University, Linzhi, 860000, China

^*Corresponding author.

^*Corresponding author. Email: chen_lu@hust.edu.cn

Corresponding Authors

Lizheng Chen, Lu Chen

Available Online 19 May 2025.

DOI: 10.2991/978-94-6463-728-1_76 How to use a DOI?
Keywords: Flood control scheduling; IGWO; Reservoir gates control
Abstract: The scheduling of reservoir floodgates is a crucial component of flood control measures. This paper introduces an optimised reservoir flood control scheduling model that takes into account the scheduling of reservoir gates. The objectives of this model are to minimise the number of gate operations, maximise the flood peak reduction rate, and maintain the highest water level of the dam at the lowest level. Improved Grey Wolf Optimizer (IGWO) is suggested to be the solution for this model. The model was applied to the Xin anjiang Reservoir using flood data from June 1956 as input. When comparing the solution results with the conventional routine scheduling, it is evident that IGWO is capable of producing scheduling plans within a relatively brief timeframe. Furthermore, the generated scheduling plan outperforms traditional scheduling results in terms of the number of gate operations, flood peak reduction rate, and the impact on the highest water level of the dam. The multi-objective optimal scheduling model presented in this paper, along with the IGWO method, offers useful references for the management of reservoir flood control. Both approaches provide significant guidance for developing effective scheduling strategies.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)
Series: Advances in Engineering Research
Publication Date: 19 May 2025
ISBN: 978-94-6463-728-1
ISSN: 2352-5401
DOI: 10.2991/978-94-6463-728-1_76 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Jiaming Liu
AU  - Lizheng Chen
AU  - Chengwei Lu
AU  - Lu Chen
AU  - Fanqian Liu
AU  - Yazhong Wu
PY  - 2025
DA  - 2025/05/19
TI  - Optimal Scheduling Model for Flood Control of Xin anjiang Reservoir based on IGWO Considering Reservoir Gate Scheduling
BT  - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)
PB  - Atlantis Press
SP  - 822
EP  - 831
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-728-1_76
DO  - 10.2991/978-94-6463-728-1_76
ID  - Liu2025
ER  -

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