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Research and Application of Multiple Model
Predictive Control in Ultra-supercritical
Boiler-Turbine System
Hengfeng Tian
1
,
2
,WeiwuYan
1
,
2
,
, Guoliang Wang
1
,
2
, Shihe Chen
3
Xi Zhang
3
,YongHu
1
,
2
,andNanLi
1
,
2
1
Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240
2
Key Laboratory of System Control and Information Processing,
Ministry of Education of China, Shanghai, 200240
tianhengfeng1987@126.com, yanwwsjtu@sjtu.edu.cn
3
Guangdong Electric Power Research Institute, Guangzhou 510600
Abstract.
Based on analyzing the characteristics of Ultra-supercritical
unit, this paper introduced a multiple model MCPC (Multivariable Con-
strained Predictive Control) structure with three inputs and three out-
puts for coordination control of Ultra-supercritical unit. In the structure,
double-layer structure of optimization was used to obtain good steady
and dynamic performance, and piecewise linear models at the different
operating points of Ultra-supercritical unit were used to deal with non-
linearity. In the real-time simulation, nonlinear model of 1000MW Ultra-
supercritical unit in [1] was considered. Finally, the result of real-time
simulation was given in the paper.
Keywords:
Ultra-supercritical Unit, Multivariable Constrained Predic-
tive Control, Coordination control, Multiple Model.
1 Introduction
In China, electric power is mainly generated by coal power plant due to the
primary energy structure. As the largest user of coal, Electric power industry
has to improve coal utilization eciency. Ultra-supercritical unit technology has
good inheritance and is easy to be implemented in large-scale. So among the
clean coal power generation technologies, combining Ultra-supercritical power
generation technology with e
cient flue gas purification technology is the most
feasible way to achieve e
ciently producing clean power in large-scale. If the
Ultra-supercritical unit capacity ratio increases to 20% in the next ten years,
Chinese average coal consumption of thermal power generating units for power
supply will drop about 20g/kWh [2]. Improving Ultra-supercritical unit propor-
tion and optimization of Ultra-supercritical unit control level is an important
direction of promoting the coal-fired power generation technology.
This research was supported by National Natural Science Foundation of China
(Grant Number: 60974119).
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