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基于先进控制技术的机组优化控制系统
引用本文:华志刚,胡光宇,吴志功,崔希,吕剑虹.基于先进控制技术的机组优化控制系统[J].中国电力,2013,46(6):10-15.
作者姓名:华志刚  胡光宇  吴志功  崔希  吕剑虹
作者单位:1. 华北电力大学, 北京 102206;
2. 江西中电投新昌发电有限公司,江西 南昌 330117;
3. 东南大学,江苏 南京 210096
摘    要:针对某电厂700 MW超超临界机组存在负荷升降速率低、负荷调节精度不理想及当煤种变化时控制系统不稳定等实际问题,通过采用基于现代控制理论的先进控制技术,提出了解决上述各类问题的协调控制和蒸汽温度优化控制系统。实际应用表明,先进的优化控制系统有效提高了机组负荷的调节性能,减小了关键参数的波动,大大提高了机组运行的稳定性及对煤种变化的自适应能力。

关 键 词:超超临界机组    协调控制系统    汽温控制系统    预测控制    神经网络    自适应  
收稿时间:2013-02-18

Optimal Control System Based on Advanced Control Technologies
HUA Zhi-gang , HU Guang-yu , WU Zhi-gong , CUI Xi , LU Jian-hong.Optimal Control System Based on Advanced Control Technologies[J].Electric Power,2013,46(6):10-15.
Authors:HUA Zhi-gang  HU Guang-yu  WU Zhi-gong  CUI Xi  LU Jian-hong
Affiliation:1. North China Electric Power University, Beijing 102206, China;
2. CPI Jiangxi Xinchang Power Generation Co, Ltd., Nanchang 330117, China;
3. Southeast University, Nanjing 210096, China
Abstract:Aiming at problems existing in the 700 MW ultra supercritical power units in a power plant, such as low load changing rate, low load regulation accuracy and instability of the control system caused by coal type changing, a coordinated control system and an optimal steam temperature control system are proposed through adopting the advanced control methods in the modern control theory. The practical application shows that the advanced optimal control systems have successfully improved the performance of load regulation and reduced the fluctuation of key parameters, which indicates that the operation stability and self-adaptability to coal variation of the units are greatly enhanced.
Keywords:ultra supercritical power unit  coordinated control system  steam temperature control system  predictive control  neural network  self-adaption
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