Abstract:

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.

Key words: thermal power plant, nitrogen oxide, denitrification efficiency, modelling, simulation, optimization