一种改进烟气含氧量软测量建模方法与仿真  

An Improved Modeling Method for Soft-sensing of Oxygen Content in Flue Gas and the Simulation

作　　者：陈彦桥[1,2] 郭一[1] 刘建民 刘金琨[1] 

机构地区：[1]北京航空航天大学自动化科学与电气工程学院,北京100191 [2]国电科学技术研究院,南京210031

出　　处：《动力工程学报》2011年第1期12-16,共5页Journal of Chinese Society of Power Engineering

摘　　要：针对锅炉尾部烟气含氧量对提高锅炉燃烧效率的重要性,通过机理分析方法建立氧量软测量模型,并对该模型进行以下改进:使用历史数据拟合算法对炉膛总风量进行修正;使用幅值限制滤波器对热量信号中的汽包压力进行滤波以改善氧量软测量过程的动态响应;通过数据挖掘方法确定单位热量所消耗的标准状态下的最佳过量空气系数.利用某电厂历史数据进行仿真,根据方差、相关系数和最大偏差指标,证明了改进氧量软测量模型的有效性.Aiming at the importance of oxygen content in flue gas at tail part of the boiler to combustion efficiency,a soft-sensing model of oxygen content was set up through mechanism analysis.Following modifications were carried out for the model： adopting history-data-fitting algorithm to modify the total air flow in furnace;using amplitude limiting filter for filtration of boiler drum pressure in heat signals to improve the dynamic response of soft-sensing process for oxygen content;determining the optimum excess air coefficient under standard state required for per unit heat by data digging method.Simulation was performed according to the history data of a certain power plant.According to indexes of variance,correlation coefficient and maximum deviation,it is proved that the improved soft-sensing model of oxygen content is effective.

关 键 词：软测量 烟气含氧量 机理分析 数据挖掘 

分 类 号：TK314[动力工程及工程热物理—热能工程]