中文摘要：

电站锅炉稳态工况提取是基于历史运行数据实施燃烧优化的基础。对此,提出了一种与改进的置信区间判别相结合的滑动判别算法,筛选得到记录点覆盖的锅炉稳态,并以某亚临界660 MW机组锅炉为例,对历史稳态工况进行提取。基于所得稳态工况的低NO_x燃烧优化分析结果表明：该锅炉NO_x排放质量浓度随负荷的上升呈现先减后增的趋势;在同等负荷水平下,通过增大分离燃尽风（SOFA）门开度、调节煤粉磨煤机组合等措施,可加强分级燃烧效果,减少NO_x生成;掺烧高挥发分低灰分煤种有利于实现NO_x减排。

英文摘要：

Steady-state condition extraction is the basis of combustion optimization for utility boiler with historical operational data.Thus,a slippage distinguishing algorithm combining with improved confidence interval was proposed,to find out the steady-state cases among the historical operational data of utility boiler.Moreover,this algorithm is applied to detect the steady-state cases of a subcritical 660 MW unit boiler.The results indicate that,with an increase in the unit load,the NOxemission from this boiler decreases first and then increases.In the same load level,methods aiming at strengthening the effects of staged combustion,such as amplifying the SOFA damper opening degree and regulating the coal mill combination mode,can decrease the NOxemission.Co-firing coal with high volatile and low ash content is helpful to NOxemission reduction.