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

Guoliang Wang; Weiwu Yan; Shihe Chen; Xi Zhang; Huihe Shao

doi:10.1016/j.cjche.2014.05.005

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

PROCESS CONTROL | Updated：2026-01-06

- Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit
- Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit
- 中国化学工程学报（英文版） 2014年22卷第7期页码：782-787
- Affiliations：
  
  1. Automation Department of Shanghai Jiao Tong University,Shanghai,China,200240
  2. Guangdong Electric Power Research Institute, Meihua Rd.,Guangzhou,China,510600
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2014.05.005
  中图分类号：
- 纸质出版：2014
- Accepted：
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Guoliang Wang, Weiwu Yan, Shihe Chen, 等. Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit[J]. 中国化学工程学报（英文版）, 2014,22(7):782-787.

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.
Guoliang Wang, Weiwu Yan, Shihe Chen, 等. Multi-model Predictive Control of Ultra-supercritical Coal-fired Power Unit[J]. 中国化学工程学报（英文版）, 2014,22(7):782-787. DOI： 10.1016/j.cjche.2014.05.005.

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. DOI： 10.1016/j.cjche.2014.05.005.

摘要

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.

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