Thermal System Modeling Based on Entropy and BP Neural Network

Authors

Hairong Sun, 1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China; ;
Wang Rui, 1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China; ;2. Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;
Junya Geng, 1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China; ;2. Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;

Abstract

Abstract: The real-time modeling is difficult on thermal system and the model precision is not high. The convergence rate of Neural Network (NN) decreases dramatically when there are too many inputs. The BP NN modeling method based on information entropy was proposed in which the attribute reduction based on the model of approximation decision entropy was used. Field data were preprocessed by the k-means clustering algorithm and the validity was then evaluated. The approximation decision entropy was used in attribute reduction of the inputs. And the nonlinear model was built by the training of BP NN. Eventually, the proposed method was applied to the modeling of main steam temperature and the modeling of NOx emission concentration and the result shows that, the method simplified the structure of network and increased the training speed with high-precision of the model. The method is of great significance on real-time modeling and has higher practical value.

Recommended Citation

Sun, Hairong; Rui, Wang; and Geng, Junya (2020) "Thermal System Modeling Based on Entropy and BP Neural Network," Journal of System Simulation: Vol. 29: Iss. 1, Article 30.
DOI: 10.16182/j.issn1004731x.joss.201701030
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/30

First Page

226

Revised Date

2016-06-02

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201701030

Last Page

233

CLC

TP391

Recommended Citation

Sun Hairong, Wang Rui, Geng Junya. Thermal System Modeling Based on Entropy and BP Neural Network[J]. Journal of System Simulation, 2017, 29(1): 226-233.

DOI

10.16182/j.issn1004731x.joss.201701030