某调水泵站流量优化分配方案的敏感性分析

Sensitivity Analysis of Optimal Flow Allocation Scheme fora Water Diversion Pump Station

针对调水泵站在提水过程中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幅集中在2%以内。因此,在制定泵站开机方案时,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。

To address the insufficient reliability and practicality in the optimal flow allocation scheme,which arises from flow monitoring errors during water pumping at diversion pump stations,we developed an optimal flow allocation model based on the particle swarm optimization algorithm.This model reveals how the number of pumping units and overall efficiency respond to flow monitoring errors,and identifies a sensitive range for the optimal number of power-on pumping units to guide real-time control strategies.With the Liyuzhou Pumping Station from the Pearl River Delta Water Resources Allocation Project as a case study,our results indicate that the sensitive range for the optimal number of pumping units primarily concentrates in the transition zone during number adjustments.When the flow monitoring error remains constant,this sensitive range expands as flow increases,with the proportion of the sensitive range positively correlated to the absolute value of the monitoring error.Additionally,flow monitoring error leads to changes(fluctuating within 2%)in the efficiency of pumping station.Consequently,when making start-up plans for the pumping station,it is crucial to pay special attention to flow monitoring errors in the transition interval of operating conditions,as these conditions significantly impact the necessity for unit regulation adjustments.