Hydropower station multi-water gate coordinated flow intelligent regulation method and system

By acquiring the individual state parameters of each gate, a multi-objective optimization model is constructed to generate differentiated control commands, solving the problems of individual anomaly identification and load imbalance in the multi-gate control system of hydropower stations, and achieving flow stability and improved safety.

CN122411069APending Publication Date: 2026-07-17MINXI VOCATIONAL & TECHN COLLEGE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
MINXI VOCATIONAL & TECHN COLLEGE
Filing Date
2026-06-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing multi-gate control systems in hydropower stations cannot identify and respond to abnormal conditions of individual gates in real time, leading to unbalanced loads, increased energy consumption, and fluctuations in downstream water levels, which affect navigation and ecological safety.

Method used

By acquiring the individual state evaluation parameters of each gate, a multi-objective optimization model is constructed to generate differentiated control commands, monitor and adjust the opening height of each gate in real time, and achieve load balancing and anomaly early warning.

Benefits of technology

To ensure accurate and stable downstream total flow, achieve balanced gate load, provide timely warnings and isolate faulty gates, and improve the operational safety and economy of the sluice gate system.

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Abstract

本申请提供了一种水电站多水闸协同流量智能调控方法及系统,应用于水闸调控技术领域,通过实时获取每扇闸门的运行阻力、过流效能及运行强度等个体状态参数,可全面感知其真实工况。以此为基础,构建以总流量达标、负载均衡及设备损耗最小化为目标的多目标优化模型,并将个体参数作为输入,求解生成针对各闸门的差异化控制指令,实现独立精准调控,避免了统一指令的潜在风险。指令下发至各执行机构后,通过监测执行响应数据并与预期目标比对,若偏差超限则判定该闸门异常,随即更新模型约束条件将其隔离。该方法确保了下游总流量的精确稳定,实现了闸门负载均衡,并能及时预警和隔离故障,具有全面提升水闸系统运行安全性与经济性的优点。
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