采用变时域监督预测控制的机炉协调控制方法

谈博; 蔡远利; 史椸

doi:10.7652/xjtuxb201612015

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采用变时域监督预测控制的机炉协调控制方法

更新时间：2025-07-09

- 采用变时域监督预测控制的机炉协调控制方法
- A Coordination Control Method for Turbine-Boiler Systems Based on Supervisory Predictive Control with Varying Horizon
- 西安交通大学学报 2016年50卷第12期页码：92-98
- 作者机构：
  
  西安交通大学电子与信息学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2016-04-30。作者简介: 谈博(1989—),男,博士生;蔡远利(通信作者),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(61308120,61463029)
- DOI：10.7652/xjtuxb201612015
  中图分类号： TP273
- 网络首发：2016-12-10，
  
  纸质出版：2016
- 稿件说明：
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谈博, 蔡远利, 史椸. 采用变时域监督预测控制的机炉协调控制方法[J]. 西安交通大学学报, 2016,50(12):92-98.

A Coordination Control Method for Turbine-Boiler Systems Based on Supervisory Predictive Control with Varying Horizon[J]. 2016, 50(12): 92-98.
谈博, 蔡远利, 史椸. 采用变时域监督预测控制的机炉协调控制方法[J]. 西安交通大学学报, 2016,50(12):92-98. DOI： 10.7652/xjtuxb201612015.

A Coordination Control Method for Turbine-Boiler Systems Based on Supervisory Predictive Control with Varying Horizon[J]. 2016, 50(12): 92-98. DOI： 10.7652/xjtuxb201612015.

摘要

针对机炉协调控制系统中负荷变动时传统PID控制效果不佳、机组运行经济效益降低甚至影响系统安全状况的问题

提出一种采用变时域监督预测的机炉协调控制方法(VDMC)。首先根据所分析的超临界直流炉的机理特性

建立随煤质波动的变参数模型; 再结合实际工况确定的约束条件以及电网频率的扰动

采用带监督环节的多变量受约束预测控制算法来解决控制框架中分散和集中的平衡性; 最后基于变时域的思想

改善了机炉协调控制的整体性能。实验结果表明

与传统PID控制方法和固定时域预测控制方法相比

所提出的VDMC方法的相对误差均值降低了20%左右

有效提升了机炉协调控制品质

确保了系统安全稳定运行。

Abstract

A varying horizon supervisory predictive control algorithm(VDMC)is proposed to deal with the problem that the traditional PID controller is insufficient in coordination control systems(CCS)

leading to lower economic benefit of power units or even affecting system safety during load changing. Firstly

a time-varying parameter model with fluctuation of coal quality is established through the analysis of mechanism characteristics of supercritical boilers. Then

a multivariable constrained supervisory predictive control algorithm is then used to solve the balance problem of centralization and decentralization in the control frame by taking constraint conditions determined by the actual situation and the disturbance of power grid frequency into account. Finally

the overall performance of the coordination control for turbine-boiler system is improved based on the idea of varying horizon. Simulation results and comparisons with the traditional PID and the fixed horizon predictive control algorithm show that the mean value of relative errors of the proposed method is reduced by about 20% during the load changing period. The method enhances the quality of turbine-boiler coordination control and makes the system more stable.

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Keywords

references

ÅSTRÖM K J, BELL R D. Drum boiler dynamics [J]. Automatica, 2000, 36(3): 363-378.

闫姝, 曾德良, 刘吉臻, 等. 直流炉机组简化非线性模型及仿真应用 [J]. 中国电机工程学报, 2012, 32(11): 126-134.

YAN Shu, ZENG Deliang, LIU Jizhen, et al. A simplified non-linear model of a once-through boiler-turbine unit and its application [J]. Proceedings of the CSEE, 2012, 32(11): 126-134.

MOON U C, LEE K Y. Step-response model development for dynamic matrix control of a drum-type boiler-turbine system [J]. IEEE Transactions on Energy Conversion, 2009, 24(2): 423-430.

陈星, 李东海. 一类热工过程分布参数模型的PID控制仿真研究 [J]. 系统仿真学报, 2008, 20(9): 2382-2386.

CHEN Xing, LI Donghai. Simulation analysis on PID control of distributed parameter model in thermal process [J]. Journal of System Simulation, 2008, 20(9): 2382-2386.

CHAN K H, DOZAL-MEJORADA E J, CHENG X, et al. Predictive control with adaptive model maintenance: Application to power plants [J]. Computer and Chemical Engineering, 2014, 70: 91-103.

王国良, 阎威武, 陈世和, 等. 1 000 MW超超临界机组的多变量约束预测控制的研究 [J]. 控制理论与应用, 2012, 29(12): 1573-1578.

WANG Guoliang, YAN Weiwu, CHEN Shihe, et al. Multivariable constrained predictive control of 1 000 MW ultra supercritical once-through boiler-turbine system [J]. Control Theory Application, 2012, 29(12): 1573-1578.

叶青, 朱永强, 李红贤. 基于改进遗传算法电力系统仿真软件间模型参数转换研究 [J]. 电力系统保护与控制, 2015, 43(9): 95-100.

YE Qing, ZHU Yongqiang, LI Hongxian. Model parameter conversion between power system software based on IGA [J]. Power System Protection and Control, 2015, 43(9): 95-100.

GHEZELAYAGH H, LEE K Y. Application of genetic algorithm in extraction of fuzzy rules for a boiler system identifier [C]∥Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference. Piscataway, NJ, USA: IEEE, 2001: 1203-1208.

PICHLER M F, LERCH W, HEINZ A, et al. A novel linear predictive control approach for auxiliary energy supply to a solar thermal combistorage [J]. Solar Energy, 2014, 101: 203-219.

席裕庚. 预测控制 [M]. 2版. 北京: 国防工业出版社, 2013: 10-39.

邹涛, 魏峰, 张小辉. 工业大系统双层结构预测控制的集中优化与分散控制策略 [J]. 自动化学报, 2013, 39(8): 1366-1373.

ZHOU Tao, WEI Feng, ZHANG Xiaohui. Strategy of centralized optimization and decentralized control for two-layered predictive control in large-scale industrial systems [J]. Acta Automatica Sinica, 2013, 39(8): 1366-1373.

EDLUND K, BENDTSEN J D, JØRGENSEN J B. Hierarchical model-based predictive control of a power plant portfolio [J]. Control Engineering Practice, 2011, 19(10): 1126-1136.

于洋, 许鋆, 罗雄麟. 预测控制约束边界效应与解决方法研究 [J]. 自动化学报, 2014, 40(9): 1922-1932.

YU Yang, XU Jun, LUO Xionglin. Constraints boundary effect in model predictive control and corresponding solutions [J]. Acta Automatica Sinica, 2014, 40(9): 1922-1932.

何德峰, 宋秀兰, 黄骅. 优先级多目标稳定化约束模型预测控制 [J]. 控制与决策, 2013, 28(12): 1831-1836.

HE Defeng, SONG Xiulan, HUANG Hua. Stabilizing constrained model predictive control with prioritized multi-objectives [J]. Control and Decision, 2013, 28(12): 1831-1836.

SHIROEI M, RANJBAR A M. Supervisory predictive control of power system load frequency control [J]. International Journal of Electrical Power and Energy Systems, 2014, 61: 70-80.

WU Xiao, SHEN Jiong, LI Yiguo, et al. Hierarchical optimization of boiler-turbine unit using fuzzy stable model predictive control [J]. Control Engineering Practice, 2014, 30(9): 112-123.

MCLARTY D, CIVIT-SABATE C, BROUWER J, et al. Micro-grid energy dispatch optimization and predictive control algorithms: a UC Irvine case study [J]. International Journal of Electrical Power and Energy Systems, 2015, 65: 179-190.

LIAN J, ZHANG K. Exponential stability for switched Cohen-Grossberg neural networks with average dwell time [J]. Nonlinear Dynamics, 2011, 63(3): 331-343.

杨婷婷, 曾德良, 王玮. 大型燃煤发电机组煤质实时校正方法 [J]. 电站系统工程, 2010, 26(5): 7-10.

YANG Tingting, ZENG Deliang, WANG Wei. Real-time coal quality correction method for large coal-fired power unit [J]. Power System Engineering, 2010, 26(5): 7-10.

薛洪武,吴爱国,董娜.制冷系统自抗扰解耦控制.2016,50(9):85-90.[doi:10.7652/xjtuxb201609014]

朱芳来,蒋鹏,李晓航.基于T-S模糊模型的观测器和动态输出反馈容错控制器设计.2016,50(9):91-96.[doi:10.7652/xjtuxb201609015]

郭森,秦贵和,张晋东,等.多目标车辆路径问题的粒子群优化算法研究.2016,50(9):97-104.[doi:10.7652/xjtuxb2016 09016]

李国梁,张合新,周鑫,等.状态反馈事件触发控制系统的分析与设计.2016,50(5):146-150.[doi:10.7652/xjtuxb201605 022]

杨航,刘凌,阎治安,等.双闭环Buck变换器系统模糊PID控制.2016,50(4):35-40.[doi:10.7652/xjtuxb201604006]

张蕾,张爱民,景军锋,等.静止无功补偿器与发电机励磁系统的自适应鲁棒协调控制策略.2015,49(11):96-101.[doi:10.7652/xjtuxb201511016]

卜祥伟,吴晓燕,张蕊,等.双曲正弦非线性跟踪微分器设计.2015,49(1):107-111.[doi:10.7652/xjtuxb201501018]

俞珏,庄健,于德弘.采用李雅普诺夫函数的电液伺服系统反馈线性化控制.2014,48(7):71-76.[doi:10.7652/xjtuxb 201407013]

许建,张政,李翔,等.独立驱动电动汽车横摆力矩的模糊控制算法.2014,48(7):83-89.[doi:10.7652/xjtuxb201407015]

赵金磊,曹军义,马澄斌,等.空空导弹的系数图鲁棒控制设计.2013,47(11):70-75.[doi:10.7652/xjtuxb201311013]

徐小艳,管晓宏,李黎.建筑空调系统最优停机时间预测与控制.2013,47(10):31-36.[doi:10.7652/xjtuxb201310006]

晁武杰,甘永梅,王兆安,等.实时状态树结构模型的最优非阻塞模块化监督控制研究.2013,47(4):86-91.[doi:10.7652/xjtuxb201304015]

时建明,王洁,王琨,等.吸气式高超声速飞行器纵向运动反演控制器设计.2013,47(3):102-107.[doi:10.7652/xjtuxb 201303019]

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