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

Jinlong SUN

doi:10.12096/j.2096-4528.pgt.19050

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

Power Generation and Environmental Protection | 更新时间：2025-07-04

- Optimization Study of Denitrification System for 330 MW Coal-fired Thermal Power Unit
- Power Generation Technology Vol. 40, Issue 6, Pages: 570-579(2019)
- 作者机构：
  
  华电国际十里泉发电厂, 山东省枣庄市 277100
- 作者简介：
- 基金信息：
- DOI：10.12096/j.2096-4528.pgt.19050
  CLC：
- Received：08 April 2019，
  
  Published：31 December 2019
- 稿件说明：
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Jinlong SUN. Optimization Study of Denitrification System for 330 MW Coal-fired Thermal Power Unit[J]. Power Generation Technology, 2019, 40(6): 570-579.
DOI：

Jinlong SUN. Optimization Study of Denitrification System for 330 MW Coal-fired Thermal Power Unit[J]. Power Generation Technology, 2019, 40(6): 570-579. DOI： 10.12096/j.2096-4528.pgt.19050.

摘要

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。

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.

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references

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