超超临界火电机组多模型预测控制的研究(英文)

The control of ultra-supercritical(USC) power unit is a difficult issue for its characteristic of the nonlinearity, large dead time and coupling of the unit. In this paper, model predictive control(MPC) based on multi-model and double layered optimization is introduced for coordinated control of USC...

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Bibliographic Details
Published in中国化学工程学报：英文版 no. 7; pp. 782 - 787
Main Author 王国良 阎威武 陈世和 张曦 邵惠鹤
Format Journal Article
LanguageEnglish
Published 2014
Subjects
constrained
control
Coordinated
Multi-model
power
predictive
Ultra-supercritical
unit
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Summary:The control of ultra-supercritical(USC) power unit is a difficult issue for its characteristic of the nonlinearity, large dead time and coupling of the unit. In this paper, model predictive control(MPC) based on multi-model and double layered optimization is introduced for coordinated control of USC unit. The linear programming(LP) combined with quadratic programming(QP) is used in steady optimization for computation of the ideal value of dynamic optimization. Three inputs(i.e. valve opening, coal flow and feedwater flow) are employed to control three outputs(i.e. load, main steam temperature and main steam pressure). The step response models for the dynamic matrix control(DMC) are constructed using the three inputs and the three outputs. Piecewise models are built at selected operation points. Double-layered multi-model predictive controller is implemented in simulation with satisfactory performance.
Bibliography:Guoliang Wang;Weiwu Yan;Shihe Chen;Xi Zhang;Huihe Shao;Automation Department of Shanghai Jiao Tong University;Guangdong Electric Power Research Institute,Meihua Rd.
11-3270/TQ
ISSN:1004-9541
2210-321X