摘要
华电宿州电厂超临界600MW机组再热蒸汽温度主要由再热烟气调节挡板进行控制,在低温再热器出口管道上设置再热器微量喷水减温器,以防止再热蒸汽超温。由于再热蒸汽温度被控对象具有大滞后、大惯性的特点,且与锅炉燃烧率相耦合,原再热蒸汽温度控制策略不能适应机组变负荷、吹灰等扰动工况,再热烟气调节挡板震荡过调使机组主要参数波动。为此,采用自适应Smith预估算法补偿技术等,对原控制策略进行了优化,使得在机组变负荷过程中再热蒸汽温度偏差小于±10℃,机组稳态时再热蒸汽温度偏差小于±5℃,显著提高了机组再热蒸汽温度控制品质和抗干扰能力。
For the supercritical 600 MW unit in Huadian Suzhou Power Plant,the reheat steam temperature was mainly controlled by the gas damper behind the reheater.At the same time,a minor spray desuperheater was installed on the pipe at outlet of the low temperature reheater as a emergency method to prevent the reheat steam being overheated.Because the reheat steam temperature controlled object had large delay and inertia characteristics and coupled with the boiler burn rate,the original reheat steam temperature control strategy can not adapt to such disturbance conditions as the unit load changing and soot blowing,leading to vibration and overregulation of the reheat gas regulating damper,which resulted in fluctuation of the unit main parameters.Therefore,on the basis of self-adaptive Smith prediction algorithm compensation technology,optimization on the original control strategy was conducted.The reheat steam temperature deviation during the unit load varying was controlled within ±10 ℃,and that during the unit stable operation was controlled within ±5 ℃.The reheat steam temperature control quality and anti-disturbance capacity was improved significantly.
出处
《热力发电》
CAS
北大核心
2013年第4期98-101,共4页
Thermal Power Generation