1050MW超超临界机组主汽温优化控制
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摘要
分析主汽温控制策略的利弊,针对主汽温控制难点利用TOCS(终端操作控制系统)引入模糊控制和神经网络控制对主汽温控制策略进行优化,通过精确计算锅炉各级减温器所需最佳给水量对锅炉汽水系统各级过热器壁温进行控制;减温水是防止过热器壁管超温的重要控制手段,通过协调锅炉过热器减温水量,在保证各级过热器所有金属壁温度不超温的前提下,优化水汽系统温度分布,使锅炉在最优经济工况下安全稳定运行。
Advantages and disadvantages of the main steam temperature control strategy are analyzed in this paper. According to difficulties of the main steam temperature control, the main steam temperature control strategy is optimized using the fuzzy control and neural network control of TOCS. Wall temperatures of superheaters are controlled for the boiler steam & water system by calculating best feedwater quantities of boiler attemperators accurately. Desuperheating water is an important control instrument in preventing overheating of the superheater. Under the premise of no overtemperature for wall temperatures of all superheaters, water vapor temperature distribution is optimized to ensure the safe and stable operation of the boiler under the optimal and economic condition.
Advantages and disadvantages of the main steam temperature control strategy are analyzed in this paper. According to difficulties of the main steam temperature control, the main steam temperature control strategy is optimized using the fuzzy control and neural network control of TOCS. Wall temperatures of superheaters are controlled for the boiler steam & water system by calculating best feedwater quantities of boiler attemperators accurately. Desuperheating water is an important control instrument in preventing overheating of the superheater. Under the premise of no overtemperature for wall temperatures of all superheaters, water vapor temperature distribution is optimized to ensure the safe and stable operation of the boiler under the optimal and economic condition.
引文
[1]张小辉.锅炉汽水系统专家控制系统[J].计算机自动测量与控制,2001(9):17-18.
[2]李阳春.自动控制理论在火电厂热工自动化中的应用[D].杭州:浙江大学,2001.
[3]郭启刚.热工过程多模型控制理论与方法的研究[D].北京:华北电力大学,2007.
[4]张樱.火电厂汽温系统模糊控制[D].北京:华北电力大学,2000.
[5]张虹,王林江,徐用懋.Fuzzy-PI复合控制在电站锅炉过热蒸汽温度控制中的应用[C]//1999年中国智能自动化学术会议论文集(上册).
[6]来长胜.基于遗传算法—模糊技术的火电厂主汽温控制系统的研究[D].太原:太原理工大学,2007.
[7]开平安,刘建民,焦嵩鸣,等.火电厂热工过程先进控制技术[M].北京:中国电力出版社,2010.
[8]华志刚,吕剑虹,张铁军.状态变量—预测控制技术在600 MW机组再热汽温控制中的研究与应用[J].中国机电工程学报,2005,25(12):103-107.
[2]李阳春.自动控制理论在火电厂热工自动化中的应用[D].杭州:浙江大学,2001.
[3]郭启刚.热工过程多模型控制理论与方法的研究[D].北京:华北电力大学,2007.
[4]张樱.火电厂汽温系统模糊控制[D].北京:华北电力大学,2000.
[5]张虹,王林江,徐用懋.Fuzzy-PI复合控制在电站锅炉过热蒸汽温度控制中的应用[C]//1999年中国智能自动化学术会议论文集(上册).
[6]来长胜.基于遗传算法—模糊技术的火电厂主汽温控制系统的研究[D].太原:太原理工大学,2007.
[7]开平安,刘建民,焦嵩鸣,等.火电厂热工过程先进控制技术[M].北京:中国电力出版社,2010.
[8]华志刚,吕剑虹,张铁军.状态变量—预测控制技术在600 MW机组再热汽温控制中的研究与应用[J].中国机电工程学报,2005,25(12):103-107.