Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants

Author(s):  
Yongfu Wang ◽  
Maoxuan Wang ◽  
Dianhui Wang ◽  
Yongli Chang
2015 ◽  
Vol 88 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Guo-Liang Wang ◽  
Wei-Wu Yan ◽  
Shi-He Chen ◽  
Xi Zhang ◽  
Hui-He Shao

Author(s):  
Wang Ting ◽  
Feng Xiaolu ◽  
Chen Jiangtao ◽  
Zhang Rong ◽  
Xu Wei

2013 ◽  
Vol 448-453 ◽  
pp. 3240-3244
Author(s):  
Shan Shan Li ◽  
Zheng Yu Liang ◽  
He Ren

Main steam temperature regulation is one of the most demanded control loop in modulating control system of thermal power plant. According to the characteristics of main steam temperature, an intelligent control technology has been proposed. To eliminate lag and inertia in main steam temperature regulation process, the intelligent control technology integrates several advanced algorithms. The application effects in several ultra-supercritical thermal power plants prove that the control technology has outstanding robustness and excellent adaptability in both variable load and steady state condition.


2014 ◽  
Vol 716-717 ◽  
pp. 1658-1661
Author(s):  
Dong Wang ◽  
Rui Bo Zhu

In large-scale thermal power plants, the control of boiler main steam temperature functions as an indispensable part to improve the economic efficiency and ensure the unit’s safety. Currently, the main steam system is always characterized as a dynamic system with big delay, large inertia and huge uncertainties. Considering the characteristics above, the Active Disturbance Rejection Control (ADRC) is designed and serves as a creative solution to the problem of main steam temperature control. In this paper, a guiding temperature signal is adopted as an auxiliary feedback signal, which constitutes the cascade control loop of ADRC-PI.


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