A nonlinear exponential ARX model-based multivariable generalized predictive control strategy for thermal power plants

Author

Peng, Hui ; Ozaki, Toru ; Haggan-Ozaki, Valerie ; Toyoda, Yukihiro

Author_Institution

Coll. of Inf. Eng., Central South Univ., Changsha, China

Volume

10

Issue

2

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

256

Lastpage

262

Abstract

Presents a modeling and control method for thermal power plants having nonlinear dynamics varying with load. First, a load-dependent exponential ARX (Exp-ARX) model that can effectively describe the plant nonlinear properties and requires only off-line identification is presented. The model is then used to establish a constrained multivariate multistep predictive control (ExpMPC) strategy whose effectiveness is illustrated by a simulation study of a 600 megawatt (MW) thermal power plant. Although the predictive control algorithm may be used without resorting to online parameter estimation, it is much more reliable, and displays much better control performance than the usual generalized predictive control (GPC) algorithm

Keywords

autoregressive processes; multivariable control systems; nonlinear control systems; power station control; predictive control; steam power stations; 600 MW; 600 megawatt thermal power plant; load-dependent exponential model; nonlinear dynamics; nonlinear exponential ARX model-based multivariable generalized predictive control strategy; nonlinear properties; off-line identification; thermal power plants; Displays; Parameter estimation; Power generation; Power system reliability; Power system simulation; Prediction algorithms; Predictive control; Predictive models; Temperature control; Thermal loading;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/87.987071

Filename

987071