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
张方芳 1陶然 1肖若富1
作者信息
- 1. 中国农业大学水利与土木工程学院,北京 100083;北京市供水管网系统安全节能技术工程研究中心,北京 100083
- 折叠
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.
Abstract
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 opti-mal 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Key words
data-driven/pump turbine/composite performance curve/Genetic Algorithm/fuzzy logic引用本文复制引用
基金项目
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)
出版年
2024
NETL
NSTL
万方数据