摘要
为有效降低泵站因理论抽水装置效率偏离实际情况产生的方案误差,在聚类方法的基础上,利用历史监测数据对泵站内各抽水装置的特性曲线进行校正,同时将校正结果运用到泵站优化调度模型中,构建基于差异特性水泵机组的泵站优化调度模型,以实现站内机组的智能优选与调控.研究结果表明:校正后曲线的理论抽水装置效率比校正前精度平均提高18.8%,更符合工程实际;相比于人工经验调度方案,基于校正后曲线的差异特性水泵机组优化方案能耗平均降低了9.08%,成本平均降低了3.59%,优于人工经验调度方案;对校正后的多台水泵机组性能曲线进行对比发现,因安装位置、累计运行台时及磨损程度不同,导致泵站内同型号水泵的抽水装置效率产生差异,最大偏差达14.63%,说明长时间运行时的泵站已无法直接通过均分流量完成最优分配,进一步证明了水泵机组差异特性研究的必要性.
In order to effectively reduce the scheme error of the pumping station due to the deviation of the theoretical pumping unit efficiency from the actual situation,on the basis of the clustering method,the characteristic curves of the pumping units in the pumping station were corrected by using the histo-rical monitoring data.At the same time,the results of the correction were applied to the pumping station optimization and scheduling model,and the optimization and scheduling model of the pumping station based on the pumping units with different characteristics would be constructed to achieve the intelligent preference optimization and control of the pumping units in the station.The results of the study show that the theoretical pumping unit efficiency after the calibration curve is 18.8%higher than the accuracy before the calibration,which is more in line with the engineering practice.Compared with the manual empirical scheduling scheme,the energy consumption of the optimization scheme of the pumping unit with different characteristics based on the calibrated curve is reduced by an average of 9.08%,and costs by an average of 3.59%,which is superior to the manual empirical scheduling.Comparison of the corrected performance curves of multiple pumping units found that the installation location,cumulative operating hours and wear and tear,result in differences in the pumping efficiency of the pumping unit of the same type of pumps in the pumping station,with a maximum deviation of 14.63%.This demonstrates that the pumping station cannot be directly divided into the optimal distribution of the flow rate for long periods of time,which further provides the necessity of the research on the differential characteristics of the pumping unit.
作者
闫静
张召
位文涛
司乔瑞
李月强
薛萍
高中阳
杜梦盈
YAN Jing;ZHANG Zhao;WEI Wentao;SI Qiaorui;LI Yueqiang;XUE Ping;GAO Zhongyang;DU Mengying(National Research Center of Pumps,Jiangsu University,Zhenjiang,Jiangsu 212013,China;China Research Institute of Water Resources and Hydropower,Beijing 100038,China;School of Water Conservancy and Hydroelectric Power,Hebei University of Engineering,Handan,Hebei 056038,China;College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing,Jiangsu 210098,China;College of Computer and Information,Hohai University,Nanjing,Jiangsu 210098,China)
出处
《排灌机械工程学报》
CSCD
北大核心
2024年第3期256-264,共9页
Journal of Drainage and Irrigation Machinery Engineering
基金
国家自然科学基金资助项目(52209046)
国家重点研发计划项目(2022YFC3204603)。
关键词
水泵机组
优化调度
水泵特性曲线校正
抽水装置差异特性
遗传算法
降耗节能
pump units
optimized scheduling
correction of pump characteristic curve
differential characteristics of pump units
genetic algorithm
reduce consumption and save energy