运行数据动态分量的相关性分析及其在燃烧优化中的应用  

Correlation Analysis of Dynamic Components of Operation Data and Its Application in Combustion Optimization

作　　者：王国栋 刘一兵 王志[2] 梁瑞庆 周远科 彭献永 周怀春 WANG Guodong;LIU Yibing;WANG Zhi;LIANG Ruiqing;ZHOU Yuanke;PENG Xianyong;ZHOU Huaichun(CHN Energy(Zhaoqing)Co-Generation Co.,Ltd.,Zhaoqing,Guangdong 526299,China;School of Automation Engineering,Northeast Electric Power University,Jilin,Jilin 132012,China;Wuhan Jiuzhou 3D Combustion Technology Co.,Ltd.,Wuhan,Hubei 430074,China;School of Low-carbon Energy and Power Engineering,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China)

机构地区：[1]国能(肇庆)热电有限公司,广东肇庆526299 [2]东北电力大学自动化工程学院,吉林吉林132012 [3]武汉九州三维燃烧科技有限公司,湖北武汉430074 [4]中国矿业大学低碳能源与动力工程学院,江苏徐州221116

出　　处：《广东电力》2022年第7期79-89,共11页Guangdong Electric Power

基　　金：国家能源投资集团有限责任公司科技项目(GJNY19-120)。

摘　　要：智能发电技术的研发需要充分利用机组运行数据的方法和技术,现有的基于稳态运行数据的数据挖掘方法缺乏对机组变负荷动态运行的信息挖掘能力。为此,将一段时间内某电厂机组动态运行数据根据负荷、气温(送风机入口风温)划分二维区间,计算不同负荷、气温区间的运行数据的平均值,然后从实际运行数据中减去其平均值,获得运行数据的动态分量,并计算出所有运行参数动态分量之间的相关系数。给出了总煤量、NO_(x)生成量,以及总煤量和NO_(x)生成量综合参数与所有运行参数动态分量之间的相关系数计算值,分析正相关系数大于0.1和负相关系数小于-0.1的运行参数对燃烧经济性和污染物生成的影响,以及运行优化调整的建议。将基于动态运行数据分析的燃烧优化控制模型应用于所研究机组的现场试验,取得了降低煤耗的效果,验证了动态运行数据分析的有效性。The research and development of intelligent power generation technology needs to make full use of the analysis methods and technologies of unit operation data.The existing data mining methods based on steady-state operation data lack the mining ability of dynamic operation information of the unit under varying load.On the basis of dividing the dynamic operation data of all units in a period of time into two-dimensional intervals according to load and air temperature(inlet air temperature of forced draft fan),this paper calculates the average values of operation data in different load and air temperature intervals,and then subtracts its average value from the actual operation data to obtain the dynamic component of operation data,The correlation coefficients between the dynamic components of all operating parameters are calculated.The calculated values of correlation coefficients between the dynamic components of total coal quantity,NO_(x) generation,an integrated of total coal quantity and NO_(x) generation,and those of all operating parameters,are given.The effects of operating parameters with positive correlation coefficient greater than 0.1 and negative correlation coefficient less than-0.1 on combustion economy and pollutant generation are analysed,as well as suggestions for operation optimization and adjustment.The combustion optimization control model based on the dynamic operation data analysis is applied to the field test of the studied unit,which has achieved the effect of reducing the coal consumption,and verified the effectiveness of the dynamic operation data analysis.

关 键 词：燃烧优化 大数据分析 动态分析 相关性系数 煤耗 智能发电 

分 类 号：TM621.2[电气工程—电力系统及自动化] TK227.1[动力工程及工程热物理—动力机械及工程]