长江科学院院报

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某调水泵站流量优化分配方案的敏感性分析

徐思雨1(), 张召1(), 雷晓辉1,2, 杜梦盈1,3, 景象1,4, 范海龙1,2   

  1. 1.中国水利水电科学研究院 水资源研究所,北京 100038
    2.河北工程大学 水利水电学院,河北 邯郸 056038
    3.江苏大学 流体机械工程技术研究中心,江苏 镇江 212013
    4.天津大学 建筑工程学院,天津 300072
  • 收稿日期:2024-05-14 修回日期:2024-07-08 出版日期:2024-07-19 发布日期:2024-07-19
  • 通信作者: 张 召(1992-),男,河北石家庄人,高级工程师,博士,主要从事调水工程模拟与调控模型研究。E-mail:zhangzhao@iwhr.com
  • 作者简介:徐思雨(1998-),女,河北唐山人,硕士研究生,主要从事水文与水资源研究。E-mail:1393508248@qq.com
  • 基金资助:
    中国水力发电工程学会青年人才托举工程项目(CSHE-YESS-2024009)

Sensitivity Analysis of Optimal Flow Distribution Scheme for A Water Diversion Pump Station

XU Si-yu1(), ZHANG Zhao1(), LEI Xiao-hui1,2, DU Meng-ying1,3, JING Xiang1,4, FAN Hai-long1,2   

  1. 1.China Institute of Water Resources and Hydropower Research, Department of Water Resources, Beijing 100038, China
    2.College of Water Resources and Hydropower, Hebei University of Engineering, Handan 056038, China
    3.Fluid Machinery Engineering Technology Research Center, Jiangsu University, Zhenjiang 212013, China
    4.Tianjin University School of Civil Engineering, Tianjin 300072, China
  • Received:2024-05-14 Revised:2024-07-08 Published:2024-07-19 Online:2024-07-19

摘要:

针对调水泵站在提水过程中因流量监测误差导致的流量优化分配方案可靠性和实用性不足的问题,基于粒子群算法构建泵站流量优化分配模型,揭示泵站开机台数和整体效率对流量监测误差的响应规律,并识别最优开机台数敏感区域,以指导泵站现地实时控制。以珠三角水资源配置工程鲤鱼洲泵站为例进行分析,结果表明:泵站最优开机台数敏感区域主要集中在开机台数调整过渡区间;流量监测误差一定时,最优开机台数敏感区域随流量增大而扩大,且开机台数敏感区域占比与流量监测误差绝对值呈正相关;流量监测误差导致泵站效率变化幅度集中在2%以内。因此,在进行泵站开机方案制定时,鉴于开机台数调整过渡区间处工况对流量监测误差较为敏感,故需特别关注相应工况处的流量监测误差,以减少非必要机组调控。

关键词: 2024-0514上网稿排/img_1.jpg44.444.4调水泵站, 流量优化分配, 敏感性分析, 流量监测误差, 粒子群算法

Abstract:

Aiming at the problem of insufficient reliability and practicability of the optimal flow distribution scheme caused by the flow monitoring error in the water pumping process of the water diversion pump station, the optimal flow distribution model of the pump station is constructed based on the particle swarm optimization algorithm. The response law of the number of pumping stations and the overall efficiency to the flow monitoring error is revealed, and the sensitive area of the optimal number of pumping stations is identified to guide the real-time control of the pumping station. Taking the Liyuzhou Pumping Station of the Pearl River Delta Water Resources Allocation Project as an example, the results show that the sensitive area of the optimal number of pumping stations is mainly concentrated in the transition zone of the adjustment of the number of pumping stations. When the flow monitoring error is constant, the sensitive area of the optimal number of boots expands with the increase of flow, and the proportion of the sensitive area of the number of boots is positively correlated with the absolute value of the flow monitoring error. The flow monitoring error causes the efficiency change of the pumping station to be concentrated within 2 %. Therefore, in the formulation of the pumping station start-up plan, in view of the fact that the operating conditions at the transition interval of the number of start-ups are sensitive to the flow monitoring error, it is necessary to pay special attention to the flow monitoring error at the corresponding operating conditions to reduce the non-essential unit regulation.

Key words: water diversion pump station, optimal flow distribution, sensitivity analysis, flow monitoring error, particle swarm optimization algorithm

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