| 1000MW超超临界机组的多变量约束预测控制的研究 |
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| 引用本文： | 王国良,阎威武,陈世和,张曦,邵惠鹤.1000MW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. |
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| 作者姓名： | 王国良 阎威武 陈世和 张曦 邵惠鹤 |
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| 作者单位： | 1. 上海交通大学自动化系;教育部系统控制与信息处理教育部重点实验室,上海200240
2. 广东电网公司电力科学研究院,广东广州,510600 |
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| 基金项目： | 国家自然科学基金资助项目(60974119). |
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| 摘 要： | 针对1000MW超超临界机组,分析了机组协调控制的3输入3输出系统,研究了机组系统的双层结构多变量约束预测控制(multivariable constrained predictive control,MCPC),给出了基于阶跃响应的多变量约束预测控制方法和具体算法,并给出了仿真效果.最后与传统协调控制进行了对比,仿真结果表明了算法的有效性.
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| 关 键 词： | 超超临界机组 多变量系统 预测控制 协调控制 负荷跟踪 |
| 收稿时间： | 2012/5/31 0:00:00 |
| 修稿时间： | 2012/7/12 0:00:00 |
Multivariable constrained predictive control of 1000MW ultra supercritical once-through boiler-turbine system |
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| WANG Guo-liang,YAN Wei-wu,CHEN Shi-he,ZHANG Xi and SHAO Hui-he.Multivariable constrained predictive control of 1000MW ultra supercritical once-through boiler-turbine system[J].Control Theory & Applications,2012,29(12):1573-1578. |
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| Authors: | WANG Guo-liang YAN Wei-wu CHEN Shi-he ZHANG Xi and SHAO Hui-he |
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| Affiliation: | Department of Automation, Shanghai Jiao Tong University; Key Laboratory of System Control and Information Processing, Ministry of Education of China,Department of Automation, Shanghai Jiao Tong University; Key Laboratory of System Control and Information Processing, Ministry of Education of China,Guangdong Electric Power Research Institute,Guangdong Electric Power Research Institute,Department of Automation, Shanghai Jiao Tong University; Key Laboratory of System Control and Information Processing, Ministry of Education of China |
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| Abstract: | For an ultra-supercritical power unit, to deal with its nonlinear characteristics, time-delay and coupling between units, we analyze the coordinated control system with three-input and three-output, and propose the multivariable constrained predictive control (MCPC) based on the double-layer construction of the power unit. The scheme of the MCPC for the ultra-supercritical power unit based on the step-response model is given, and its associated algorithm is developed in details. Simulations of the proposed control method and traditional PID control method are performed for comparison. The results of the proposed control method show less fluctuation in temperature, fuel flow and feed water flow of the units, and faster compensation response to load variations. |
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| Keywords: | ultra-supercritical unit multivariable system model predictive control coordinated control load following |
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