引用本文: | 刘桂莲,张新昌,张长庚,朱翠丽.单元机组协调系统的模型预测控制[J].电力系统保护与控制,2014,42(10):41-45.[点击复制] |
LIU Gui-lian,ZHANG Xin-chang,ZHANG Chang-geng,ZHU Cui-li.Model predictive coordination control system for power unit[J].Power System Protection and Control,2014,42(10):41-45[点击复制] |
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摘要: |
单元机组中的锅炉-汽轮机协调系统,具有滞后、耦合、时变以及模型不确定性等特点。针对该协调过程,设计了一种预测控制策略,它利用预测模型与滚动优化策略,减小了模型不确定性、时变以及滞后等因素的影响。最后通过300 MW单元机组协调控制系统的仿真实验,验证了所设计控制算法的性能。结果表明在机组工况发生变化或受到干扰时,被控系统具有快速的负荷适应性、良好的抗扰动能力和很强的鲁棒性,是一种具有实用价值的单元机组协调控制方法。 |
关键词: 模型预测控制 多变量 单元机组 滚动优化 |
DOI:10.7667/j.issn.1674-3415.2014.10.007 |
投稿时间:2013-06-27修订日期:2013-10-24 |
基金项目: |
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Model predictive coordination control system for power unit |
LIU Gui-lian,ZHANG Xin-chang,ZHANG Chang-geng,ZHU Cui-li |
(XJ Group Corporation, Xuchang 461000, China) |
Abstract: |
Power unit boiler-turbine coordination system has some characteristics, such as delay, coupling, time-varying and model uncertainty. This paper designs a model predictive control strategy for the coordination process. It uses predictive model and the receding horizon optimal principle to reduce the effects of model uncertainty, time-varying and delay. Finally 300 MW power unit coordinated control system simulation experiment results show that the control system has fast load adaptability, disturbance rejection capability and robustness with the power unit condition changing and disturbance. The designed algorithm is a practical power unit coordination control method. |
Key words: model predictive control multivariable power units receding horizon optimal principle |