Discussions on practical intelligent optimization control technologies for thermal power units

GAO Haidong; GAO Lin; FAN Haoliang; WANG Lin; HOU Yuting

English

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Discussions on practical intelligent optimization control technologies for thermal power units

Thermal Power Generation Vol. 46, Issue 12, Pages: 1-5(2017)

更新时间：2025-09-28

- Discussions on practical intelligent optimization control technologies for thermal power units
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 西北电力建设工程监理有限责任公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621.3
- Published：2017
- 稿件说明：
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GAO Haidong, GAO Lin, FAN Haoliang, et al. Discussions on practical intelligent optimization control technologies for thermal power units[J]. Thermal Power Generation, 2017, 46(12): 1-5.
DOI：

GAO Haidong, GAO Lin, FAN Haoliang, et al. Discussions on practical intelligent optimization control technologies for thermal power units[J]. Thermal Power Generation, 2017, 46(12): 1-5. DOI：

摘要

智能优化控制是火电机组未来的发展方向

火电机组智能优化控制技术可避免代价高昂的硬件设备改造

充分挖掘机组内在的运行节能潜力

具有投资少、实施周期短、节能效果显著等特点。但在现有发电技术背景下

各种智能优化控制技术应用受到很大局限。本文从现有技术背景下的电站热工自动控制角度出发

从锅炉燃烧、凝结水变负荷、烟气脱硝喷氨优化和汽轮机冷端优化控制4个方面

分别探讨了适合我国火电机组现状的实用智能优化控制技术方案

并对采用优化控制后的机组节能减排情况进行了说明。

Abstract

Intelligent optimization control is the future development direction of thermal power units

the intelligent optimization control technologies of thermal power units can avoid expensive hardware equipment retrofitting and fully exploit the inherent energy saving potential of the units

which have advantages of less investment

short implementation cycle and remarkable energy saving effect.However

in current power generation technology background

applications of the intelligent optimization control technologies are greatly restricted.Thus

in this paper

typical practical intelligent optimization control technology programs were described

from the aspects of boiler combustion

condensate aided load control

denitrification optimization and cold end optimization control.Moreover

the energy-saving and emission reduction situation of the unit after the intelligent optimization control technology was applied was also presented.

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