Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit

doi:10.1016/j.cjche.2014.05.005

›› 2014, Vol. 22 ›› Issue (7): 782-787.DOI: 10.1016/j.cjche.2014.05.005

• PROCESS CONTROL • 上一篇下一篇

Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit

Guoliang Wang¹, Weiwu Yan¹, Shihe Chen², Xi Zhang², Huihe Shao ¹

1. Automation Department of Shanghai Jiao Tong University, Shanghai 200240, China;
2. Guangdong Electric Power Research Institute, Meihua Rd., Guangzhou 510600, China

收稿日期:2014-01-07 修回日期:2014-03-03 出版日期:2014-07-28 发布日期:2014-08-23
通讯作者: Guoliang Wang, Xi Zhang
基金资助:
Supported by the National Natural Science Foundation of China (60974119).

Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit

Guoliang Wang¹, Weiwu Yan¹, Shihe Chen², Xi Zhang², Huihe Shao ¹

1. Automation Department of Shanghai Jiao Tong University, Shanghai 200240, China;
2. Guangdong Electric Power Research Institute, Meihua Rd., Guangzhou 510600, China

Received:2014-01-07 Revised:2014-03-03 Online:2014-07-28 Published:2014-08-23
Supported by:
Supported by the National Natural Science Foundation of China (60974119).

摘要/Abstract

摘要： 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.

关键词: Ultra-supercritical power unit, Coordinated control, Multi-model constrained predictive control

Abstract: 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.

Key words: Ultra-supercritical power unit, Coordinated control, Multi-model constrained predictive control

Guoliang Wang, Weiwu Yan, Shihe Chen, Xi Zhang, Huihe Shao . Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit[J]. , 2014, 22(7): 782-787.

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Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit

Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit

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