锅炉入炉煤量预测模型研究  

Study on Prediction Model for Coal Feed Rate of a Boiler

作　　者：谷俊杰[1] 张岩[1] 刘康[1] 孙苗青[1] 

机构地区：[1]华北电力大学能源动力与机械工程学院,河北保定071003

出　　处：《动力工程学报》2016年第2期118-122,161,共6页Journal of Chinese Society of Power Engineering

基　　金：河北省教育厅科学研究指导性资助项目(z2007414)

摘　　要：设计了煤质自适应前馈校正,以功煤系数为出发点,借助组合预测模型的思想建立锅炉入炉煤量的预测模型,采用方差倒数法求取前1h功煤系数对当前时刻功煤系数的最优权重系数,实现对入炉煤量和功煤系数的预测,并利用该模型对某660 MW机组4号锅炉的入炉煤量进行预测.结果表明:将实时入炉煤量的预测值作为实际入炉煤量,其预测平均准确度能达到97%左右,提高了入炉煤量的预测准确率.An adaptive feed-forward correction to coal quality was designed, based on which a prediction model was established for the coal feed rate of a boiler considering the power-coal coefficient via the concept of combination model. The optimal weighting factor of last 1 h to current power-coal coefficient was solved by reciprocal method, so as to predict the coal feed rate and power-coal coefficient. The model was applied to the prediction of coal feed rate in No. 4 boiler of a 660 MW unit. Results show that the average prediction accuracy on coal feed rate can be improved up to 97% if the predicted value is regarded as the actual coal feed rate.

关 键 词：入炉煤量 前馈校正 预测模型 功煤系数 电网调度负荷指令 

分 类 号：TK229.2[动力工程及工程热物理—动力机械及工程]