锅炉技术2024，Vol.55Issue(2)：32-38,7.
对冲燃烧锅炉两侧主蒸汽温度偏差的预测模型及问题诊断
Prediction Model and Problem Diagnosis on Main Steam Temperature Deviation of Opposed Firing Boiler
丁皓轩 1李松山 2唐文 1严文龙 2郝志兵 2马永昱3
作者信息
- 1. 中电华创(苏州)电力技术研究有限公司,江苏 苏州 215000
- 2. 黄冈大别山发电有限责任公司,湖北 黄冈 438000
- 3. 淮南平圩发电有限责任公司,安徽 淮南 232000
- 折叠
摘要
Abstract
In recent years,in order to control the cost and pollutant emissions,the scheme of coal mixing and low nitrogen burner modification is applied.Steam temperature deviation on heating surface caused by combustion instability and poor heat conduction variation is frequent.In this paper,the theoretical influencing factors of steam temperature deviation were analyzed,56 input variables of the prediction model were selected.The model based on PLS-GA-SVR algorithm is established.The sensitivity of the steam temperature deviation to the main input parameters is analyzed,and the key parameters are screened.The calculation results show that the number of input variables can be greatly reduced without affecting the regression effect.The root mean square error and R-squared of the results predicted by GA-SVR model with 10 variables were 5.152 and 0.879.The oxygen and the coal feed of mill C and D are the most critical parameters which affects the steam temperature deviation.The field measurement results show that the uneven distribution of pulverized coal is the main reason in this question.关键词
电站锅炉/主蒸汽温度偏差/预测模型/变量筛选/遗传算法Key words
power plant boiler/main steam temperature deviation/prediction model/variable screening/genetic algorithm(GA)分类
能源科技引用本文复制引用
丁皓轩,李松山,唐文,严文龙,郝志兵,马永昱..对冲燃烧锅炉两侧主蒸汽温度偏差的预测模型及问题诊断[J].锅炉技术,2024,55(2):32-38,7.
