MATEC Web Conf.
Volume 77, 20162016 3rd International Conference on Mechanics and Mechatronics Research (ICMMR 2016)
|Number of page(s)||4|
|Section||Modeling and Simulation|
|Published online||03 October 2016|
Modeling of Main Steam Parameters in Large Thermal Power Plant
1 Simulation center, Northeast Dianli University, Jilin, China
2 School of Automation Engineering, Northeast Dianli University, Jilin, China
To solve the problem of main steam temperature abnormal of the 300 MW subcritical coal-fired boiler, the main steam temperature model was built based on running data. Firstly, the correlation analysis of the data was carried out based on the SPSS software to determine the main influence factors of the main steam temperature. Then, a nonlinear modeling method based on PLS was proposed, which is used to determine the number of the extracted components. At last, the simulation of the partial least squares regression model of the main steam temperature was realized by using MATLAB software. The partial least squares regression equation of the standard variable and the original variable was constructed by using the training samples and the accuracy and correctness of the model were tested by using the test samples.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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