Optimal Application of VAR Model Based on Pearson Correlation for Coal-electricity Water-coal Ratio
In order to solve the problem of water-to-coal ratio imbalance of 350MW coal-fired units under the condition of frequent changes in coal quality,the vector autoregression(VAR)model is used to optimize the water-to-coal ratio under the condition of unit parameter fluctuations.By using the Pearson correlation co-efficient to analyze the operating parameters of the unit,determine the input data of the optimization model,calculate the optimal order of the VAR model,and establish the VAR model to find the optimal value of the water-to-coal ratio in corresponding working conditions from the time series of multiple parameters.Meanwhile,three different analysis methods were used to ensure the accuracy and safety of the optimal value.The practice proves that this method can effectively solve the problems of large deviation of main steam temperature and main steam pressure caused by improper boiler water supply strategy due to frequent changes of coal quality.
thermal power supercritical unitswater-coal ratiotime series dataVAR modelPearson cor-relation coefficient
万方数据
维普
