数据驱动的水泵水轮机综合特性曲线优化表达  

Improved expression of composite performance curve for data-driven pump turbine

作　　者：张方芳 陶然[1,2] 肖若富 ZHANG Fangfang;TAO Ran;XIAO Ruofu(College of Water Resources and Civil Engineering China Agricultural University,Beijing 100083,China;Beijing Engineering Research Center of Safety and Energy Saving Technology for Water Supply Network System,Beijing 100083,China)

机构地区：[1]中国农业大学水利与土木工程学院,北京100083 [2]北京市供水管网系统安全节能技术工程研究中心,北京100083

出　　处：《水利发展研究》2024年第6期65-72,共8页Water Resources Development Research

基　　金：中国农业大学研究生自主创新研究基金(15053350);流体及动力机械教育部重点实验室开放基金(LTOL—2022009)。

摘　　要：基于一水泵水轮机的水轮机工况综合特性曲线,文章旨在提出一种数据驱动的三维综合特性曲线表达方法,并提出遗传模糊算法用于寻找最优运行点,基于文章所提出的方法,单位流量、单位转速、效率、导叶开度等关系得到了直观清晰的表达,最优运行范围也得到了有效确认,对电站高效运行、提高经济效益具有参考意义。Based on the composite performance curve of a pump turbine,this article aims to propose a three-dimensional and data-driven composite performance curve expression method,and proposes the Genetic Fuzzy Algorithm to find the optimal operating point as well.Based on the methods proposed in this article,the relationships between unit flow rate,unit rotation speed,efficiency,and guide vane opening have been intuitively and clearly expressed,and the optimal operating range has been effectively confirmed,which has reference significance for efficient operation of power plants and improving economic benefits.

关 键 词：数据驱动 水泵水轮机 综合特性曲线 遗传算法 模糊逻辑 

分 类 号：TV72[水利工程—水利水电工程]