Generalized Predictive Control for Superheated Steam Temperature Regulation in a Supercritical Coal-fired Power Plant  

作　　者：Mihai Draganescu Shen Guo Jacek Wojcik Jihong Wang Xiangjie Liu Guolian Hou Yali Xue Qirui Gao 

机构地区：[1]School of Engineering,University of Warwick,United Kingdom [2]The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University,Beijing,102206,P.R.China [3]School of Thermal Engineering,Tsinghua University,Beijing,China

出　　处：《CSEE Journal of Power and Energy Systems》2015年第1期69-77,共9页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported by the EPSRC Grant(EP/G062889/2),Advantage West Midlands and the European Regional Development Agency(Birmingham Science City Energy Efficiency&Demand Reduction project).

摘　　要：The design and implementation of a Generalized Predictive Control(GPC)strategy for the superheated steam temperature regulation in a supercritical(SC)coal-fired power plant is presented.A Controlled Auto-Regressive MovingAverage(CARMA)model of the plant is derived from using the experimental data to approximately predict the plant’s future behavior.This model is required by the GPC algorithm to calculate the future control inputs.A new GPC controller is designed and its performance is tested through extensive simulation studies.Compared with the performance of the plant using a conventional PID controller,the steam temperature controlled by the GPC controller is found to be more stable.The stable steam temperature leads to more efficient plant operation and energy saving,as demonstrated by the simulation results.Plant performance improvement is also tested while the plant experiences the load demand changes and disturbances resulting from the malfunctioning of coal mills.

关 键 词：CARMA model coal mill GPC load demand PID SC power plant steam temperature control superheater(SH) 

分 类 号：TF8[冶金工程—有色金属冶金]