灯泡贯流式水轮发电机组运行优化研究
Optimization Study on the Operation of Bulb Turbine Generator Units
余斌1
作者信息
- 1. 中国水电顾问集团桃源开发有限公司,湖南常德 415000
- 折叠
摘要
灯泡贯流式水轮机组是贯流式水轮机的主要类型之一,在25 m以下低水头水电资源开发方面的表现较为优异.与其他水轮机组相比,该机组具有工作效率更高、耗水量低的重要优势.但是在实际工作情境中,灯泡贯流式水轮机组在承担电网调峰调度方面存在比较明显的技术劣势,对其进行研究具有一定现实意义.针对常规PID控制效果存在的缺陷问题,引进了基于RBF神经网络的自抗扰控制对其进行了优化.通过仿真分析发现,基于RBF神经网络的自抗扰控制能够提升灯泡贯流式水轮发电机组调速系统的综合性能.
Abstract
Bulb turbine is one of the main types of through turbine,and it performs well in the development of low head hydropower resources below 25 m.Compared with other turbine units,this unit has important advantages such as higher work efficiency and lower water consumption.However,in practical work situations,bulb turbine units have significant technical disadvantages in undertaking peak load regulation and scheduling in the power grid,and studying them has certain practical significance.This article first briefly elaborates on the characteristics of bulb through type hydroelectric generator sets by reviewing relevant literature.Secondly,in response to the shortcomings of conventional PID control effectiveness,an active disturbance rejection control based on RBF neural network was introduced to optimize it.Finally,through simulation analysis,it was found that the self disturbance rejection control based on RBF neural network can improve the comprehensive performance of the speed control system of the bulb through type hydroelectric generator set.
关键词
灯泡贯流式水轮发电机组/RBF神经网络/自抗扰控制/运行优化Key words
bulb turbine generator set/RBF neural network/self disturbance rejection control/operational optimization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据