考虑Heywood现象的锅炉效率分析方法研究
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摘要
从锅炉运行历史数据中挖掘新科学知识,对提高火电厂锅炉效率具有重要意义。针对不同工况下锅炉10个原始变量的运行参数及对应的锅炉效率计算值,提出一种尽可能反映锅炉运行状态且与锅炉效率密切相关的参数提取方法,建立了锅炉效率公因子模型;通过公因子回归得到因子得分估计值,实现用少数公因子描述原始数据结构;同时,考虑特殊因子方差估计值和Heywood现象,给出因子模型拟合的优劣性定量判断方法。最后,通过分析某火力发电厂锅炉运行实际数据,验证了所提方法的有效性。
Mining new scientific knowledge from the boiler historical operating data is of great significance to improve boiler efficiency in thermal power plant. Aimed at different working conditions in the running parameters of boiler 10 original variables and corresponding boiler efficiency calculation value,a method is presented to extract parameters,which can reflect the boiler operation and also closely relate to boiler efficiency. The paper establishes the factor model of boiler efficiency,and obtains factor estimate score by regression of common factor,achieving with a few common factor to describe the original data structure. Considering the variance estimate of unique factor and Heywood phenomenon,the paper gives a method to judge the superiority-inferiority of the fitting extracted factor model quantitatively. Finally,by analyzing the boiler actual data in a thermal power plant,the experimental results show that the method is feasible and effective.
Mining new scientific knowledge from the boiler historical operating data is of great significance to improve boiler efficiency in thermal power plant. Aimed at different working conditions in the running parameters of boiler 10 original variables and corresponding boiler efficiency calculation value,a method is presented to extract parameters,which can reflect the boiler operation and also closely relate to boiler efficiency. The paper establishes the factor model of boiler efficiency,and obtains factor estimate score by regression of common factor,achieving with a few common factor to describe the original data structure. Considering the variance estimate of unique factor and Heywood phenomenon,the paper gives a method to judge the superiority-inferiority of the fitting extracted factor model quantitatively. Finally,by analyzing the boiler actual data in a thermal power plant,the experimental results show that the method is feasible and effective.
引文
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[11]李永华,陈鸿伟,孟凡.300MW锅炉优化燃烧调整试验研究[J].中国电机工程学报,2004,24(1):216-220.
[12]施永红,云峰,魏铁铮.电站锅炉机械未完全燃烧热损失分析方法的研究[J].节能技术,2007,25(145):438-440.
[2]顾燕萍,赵文杰,吴占松.基于最小二乘支持向量机的电站锅炉燃烧优化[J].中国电机工程学报,2010,30(17):91-97.
[3]李青,公维平.火力发电厂节能和指标管理技术[M].北京:中国电力出版社,2009.
[4]汪冬华.多元统计分析与SPSS应用[M].上海:华东理工大学出版社,2010.
[5]李均,阎维平,李春.四角切圆煤粉锅炉工况评判方法研究[J].热能动力工程,2010,25(4):406-409.
[6]阎维平,李均,李春.基于因子分析法的煤粉锅炉燃烧工况综合优化[J].华北电力大学学报,2010,37(2):54-58.
[7]韩宏才,冯卫强,李晓勇.因子分析在循环流化床锅炉热效率研究中的应用[J].热力发电,2005,(11):18-20.
[8]J.C.F.de Winter,D.Dodou,P.A.Wieringa.Exploratory Factor Analysis With Small Sample Sizes[J].Multivariate Behavioral Research,44:147-181,2009.
[9]王军,李永华,阎维平.一种燃煤发电节能减排综合评价指数[J].中国电机工程学报,2011,31(12):144-148.
[10]谢中华.MATLAB统计分析与应用:40个案例分析[M].北京:北京航空航天大学出版社,2010.
[11]李永华,陈鸿伟,孟凡.300MW锅炉优化燃烧调整试验研究[J].中国电机工程学报,2004,24(1):216-220.
[12]施永红,云峰,魏铁铮.电站锅炉机械未完全燃烧热损失分析方法的研究[J].节能技术,2007,25(145):438-440.