Prediction Model and Problem Diagnosis on Main Steam Temperature Deviation of Opposed Firing Boiler
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.
power plant boilermain steam temperature deviationprediction modelvariable screeninggenetic algorithm(GA)
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