330 MW燃煤火电机组脱硝系统的优化研究

目前国内火电厂选择性催化还原法（selective catalytic reduction，SCR）烟气脱硝系统由于普遍存在反应时间较长、控制滞后和调门线性不好等缺点，SCR出口氮氧化物浓度大幅波动，严重影响火电厂SCR烟气脱硝系统的达标运行。为解决上述问题，根据电厂SCR脱硝系统的运行状况，在研究现场工程实际控制系统的基础上，结合相关SCR脱硝系统控制理论，通过采集现场历史数据，在保持现场实际控制算法不变的基础上，采用智能辨识的方法，建立了SCR脱硝系统数学模型，并采用工程性强的仿人智能算法，实现了SCR脱硝系统的优化运行。

Optimization Study of Denitrification System for 330 MW Coal-fired Thermal Power Unit

At present, the selective catalytic reduction (SCR) flue gas denitrification system in thermal power plants in China has many shortcomings, such as long reaction time, poor control lag and poor linearity of valve, the concentration of nitrogen oxides at SCR outlet fluctuates greatly, which seriously affects the operation of SCR flue gas denitrification system in thermal power plants. In order to solve the above problems, based on the operation status of the SCR denitration system of the power plant, based on the actual control system of the field engineering, combined with the relevant SCR denitration system control theory, by collecting the historical data of the site, on the basis of keeping the actual control algorithm on site unchanged, the intelligent identification method was used to establish the mathematical model of the SCR denitration system, and the engineering human-like intelligent algorithm was used to realize the optimal operation of the SCR denitration system.