基于运行数据的加热器主导因素建模  

Heater Dominant Factor Modeling Based on Operation Data

作　　者：雷杨祥 刘培[1] 李政[1] LEI Yang-Xiang;LIU Pei;LI Zheng(State Key Lab of power Systems,Department of Energy and Power Engineering,Tsinghua University,Beijing 100084,China)

机构地区：[1]清华大学能源与动力工程系,电力系统国家重点实验室,北京100084

出　　处：《工程热物理学报》2022年第2期304-308,共5页Journal of Engineering Thermophysics

基　　金：国家重点研发计划(No.2019YFE0100100,No.2018YFB0604301)。

摘　　要：实现对回热加热器的实时在线性能监测,关键在于要建立高精度的回热加热器模型。本文采用主导因素建模法,在回热加热器稳态模型基础上新增特性参数,以提高模型在非稳态工况的适用性。5000组工况验证结果显示,模型改进后输出应达值与实际测量值的平均偏差较稳态模型减小了0.21%,标准差在抽汽侧和给水侧较稳态模型分别减少了19.5%和3.2%。新增特性参数提高了加热器模型精度。The key to realize the real-time on-line performance monitoring of the regenerative heater is to establish a high-precision regenerative heater model.In this paper,the dominant factor modeling method is adopted,and the characteristic parameters are added on the basis of the steadystate model of the regenerative heater,so as to improve the applicability of the model in the non steady state condition.The verification results of 5000 sets of working conditions show that the average deviation between the expected output value and the actual measured value of the improved model is reduced by 0.22%compared with the steady-state model,and the standard deviation on the extraction side and feed side is reduced by 21.5%and 3.2%respectively compared with the steady-state model.The new characteristic parameters improve the accuracy of heater model.

关 键 词：回热加热器 主导因素 模型改进 

分 类 号：TM621[电气工程—电力系统及自动化]