中国电力2018，Vol.51Issue(3)：21-28,8.DOI:10.11930/j.issn.1004-9649.201707172
基于模型自适应汽轮机调节门流量特性优化研究及应用
Optimization on Valve Flow Characteristics of Steam Turbine Based on Model Self-Adaptation and Its Application
摘要
Abstract
The valve flow characteristics of steam turbines have significant impacts on the system security and operation stability as well as load regulation performance of the units.In this paper,regarding the valve structure in nozzle governing,the non-linear valve flow characteristic model is first built for sequence valve control by taking advantage of model adaptive algorithm to conduct flow characteristic linearization based on optimization arithmetic.Second,the simulation study is carried out on this model.The results indicate that the single flow characteristic simulation model adopting RBF network has high model precision.By virtue of the model adaptive optimization algorithm approximate ideal linearity and optimum valve overlap can be obtained.Finally,the simulation result is applied to a 660-MW unit.The test result shows that the method can not only improve the linearity of the valve flow characteristics,but also lower the valve overlap,improve the AGC load response performance and alleviate the valve shaking issue and reduce the throttling losses of the unit.关键词
汽轮机/调节门/流量特性/模型自适应法/RBF神经网络Key words
steam turbine/governing valve/flow characteristic/model adaptive algorithm/RBF network分类
能源科技引用本文复制引用
雷志伟,张兴,陈涛,陈胜利,武海澄,张剑..基于模型自适应汽轮机调节门流量特性优化研究及应用[J].中国电力,2018,51(3):21-28,8.基金项目
中国大唐集团重大科技项目(KYY2016-3004).This work is supported by Key Science and Technology Project of China Datang Corporation (KYY2016-3004). （KYY2016-3004）
