Multi-model predictive function control based on neural network and its application to the coordinated control system of power plants

The coordinated control system of boiler-turbine unit in power plants is a complicated multivariable system with nonlinear, uncertainty and strong coupling. In this paper the algorithm of multi-model predictive function based on neural network is proposed and it is applied in a 500MW unit. Firstly, several linearized models of the unit on different working conditions are obtained with small deviation linearized method and the global predictive model is gained by the method of neural network weights. Then, the control variables are calculated by predictive function controller. Finally, the simulation results testify the validity of this control algorithm.

[1]  O. B. Chou,et al.  Design of Co-Ordinated Power Plant Unit Control Using State Feedback Decoupling Techniques , 1977 .

[2]  Shiro Matsumura,et al.  Adaptive Control for Steam Temperature of Thermal Power Plant , 1993 .

[3]  Shiro Matsumura,et al.  Adaptive control for the steam temperature of thermal power plants , 1998, Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104).

[4]  Girijesh Prasad,et al.  Plant-wide predictive control for a thermal power plant based on a physical plant model , 2000 .

[5]  Zeng De.  DRUM BOILER DYNAMIC MODEL AND LOAD/PRESSURE INCREMENT PREDICT MODEL , 2000 .

[6]  Li Yi-guo.  FUZZY INTERNAL MODEL CONTROL ON THE LOAD SYSTEM OF A THERMAL POWER UNIT AND ITS SIMULATING STUDY , 2002 .

[7]  L. Jizhen.  A Simplified Non-Linear Dynamic Model of 500MW Unit , 2004 .

[8]  Fang Fang,et al.  Tuning of Coordinated Controllers for Boiler-turbine Units 1) , 2005 .

[9]  Liu Ji.  Tuning of Coordinated Controllers for Boiler-turbine Units , 2005 .

[10]  Ji-Zhen Liu,et al.  Power Plant Coordinated Predictive Control using Neurofuzzy Model , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[11]  Liu Jizhen,et al.  Multi-model Control of a Boiler-Turbine Unit , 2006, 2006 Chinese Control Conference.

[12]  Lei Jia,et al.  An Intelligent Supervisory System for the Thermal Process during Severe Disturbance , 2007, 2007 IEEE International Conference on Automation and Logistics.

[13]  Liu Wen.  Multidimensional Fuzzy Reasoning Method Based on Weight of Fuzzy Neural Network , 2008 .