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| Pumps and valves joint optimization control in complex water conveyance system based on artificial rabbits optimization algorithm |
Mengyuan HAO1,2( ),Leike ZHANG1,2,Xiaolian LIU1,2,*( ),Xueni WANG1,2,Yu TIAN3 |
1. College of Hydro Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China 2. Shanxi Key Laboratory of Cooperative Utilization for Basin Water Resources, Taiyuan 030024, China 3. State Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing 100038, China |
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Abstract For a water conveyance project that combined pressurization and gravity flow, it is difficult to balance the global safety problem only by controlling a single water facility. The issue of joint control of pumps and valves under continuous shutdown conditions was discussed. The shutdown interval between parallel pumps, the closing law of the pump discharge valves and the closing process of the terminal control valves were considered, and their impacts on the extreme water hammer pressure in the pipeline system and the water level in the high-elevated pool were analyzed. The joint control of pumps and valves optimization model was established, which was coupled with the hydraulic calculation method. A non-dominated sorting artificial rabbits optimization algorithm (NSARO) was proposed based on non-dominated sorting and crowding distance. The excellent convergence of the NSARO in the joint optimization and control of pumps and valves was verified by the hypervolume (HV) index. Grey relational analysis (GRA) was used to pinpoint the optimal scheme from the Pareto solution set. In the case of an actual project, the NSARO-GRA optimization solution decision-making method was used to obtain the optimal scheme. Compared with the current scheme, the maximum positive pressure head, maximum negative pressure head in the pipeline system, and water level fluctuation value in the high-elevated pool of the optimal scheme have been reduced by 13.57, 0.29 and 5.79 m, respectively.
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Received: 14 September 2024
Published: 27 October 2025
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| Fund: 国家自然科学基金资助项目(52379091);山西省水利技术研究推广补助项目(2024GM21);山西省基础研究计划项目(202203021222112). |
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Corresponding Authors:
Xiaolian LIU
E-mail: 1213264132@qq.com;liuxiaolian@tyut.edu.cn
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基于人工兔算法的复杂输水系统泵阀联合优化调控
在泵站加压提水结合重力输水系统中,单个水利设施调控难以兼顾全线安全,为此以连续停机工况为例,综合考虑机组停机间隔、泵后阀关闭规律及末端控制阀调节规律对管道系统压力极值及高位水池水位波动的影响,建立耦合水力计算模型的泵阀联合优化调控模型,提出基于非支配排序及拥挤度距离的非支配排序人工兔优化算法(NSARO). 超体积指标(HV)验证结果表明,NSARO在泵阀联合优化调控中具有良好的收敛性. 利用灰色关联度分析法(GRA)对所获Pareto解集进行方案优选. 以实际工程为例,利用NSARO-GRA优化求解决策方法得出优选方案,相较于现状方案,管道系统的最大正压力水头、最大负压力水头以及高位水池的水位波动值分别降低了13.57、0.29和5.79 m.
关键词:
泵阀联合调控,
多目标优化,
有压输水系统,
人工兔优化算法,
灰色关联度分析法(GRA)
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