GUIDING SYSTEM OF OPTIMATION  BASED ON Internet/Intranet PROGRAMMING FOR LOW NO<sub>x</sub> COMBUSTION IN BOILERS OF THERMAL POWER PLANT

doi:10.19666/j.rlfd.2003.02.003

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GUIDING SYSTEM OF OPTIMATION BASED ON Internet/Intranet PROGRAMMING FOR LOW NO_x COMBUSTION IN BOILERS OF THERMAL POWER PLANT

更新时间：2025-09-28

- GUIDING SYSTEM OF OPTIMATION BASED ON Internet/Intranet PROGRAMMING FOR LOW NO_x COMBUSTION IN BOILERS OF THERMAL POWER PLANT
- Thermal Power Generation Issue 2, Pages: 8-11(2003)
- 作者机构：
  
  1. 广东省电力集团公司
  2. 浙江大学,浙江,杭州,310027
  3. ,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2003.02.003
  CLC： TK39
- Published：2003
- 稿件说明：
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GUIDING SYSTEM OF OPTIMATION BASED ON Internet/Intranet PROGRAMMING FOR LOW NO_x COMBUSTION IN BOILERS OF THERMAL POWER PLANT[J]. Thermal power generation, 2003, (2): 8-11.
DOI：

GUIDING SYSTEM OF OPTIMATION BASED ON Internet/Intranet PROGRAMMING FOR LOW NO_x COMBUSTION IN BOILERS OF THERMAL POWER PLANT[J]. Thermal power generation, 2003, (2): 8-11. DOI： 10.19666/j.rlfd.2003.02.003.

摘要

从分散控制系统 (DCS)上采集数据

结合人工神经网络的非线性动力学特性和自学习特性

通过对锅炉输出参数和NOx 输出特性的样本学习

建立了大型电站燃煤锅炉的氮氧化物排放特性神经网络模型

并利用遗传算法实现锅炉的低NOx 燃烧的优化运行指导。系统采用Browser/Server方式

实现基于internet/intranet模型下的大型电站锅炉燃烧优化指导

Abstract

For large capacity utility boilers

a neural network model of NO x emission characteristics was established based on data acquisition from the distributed control system

combining with the non-linear dynamic property and self-learning feature of the artificial neural network

passing through sample learning of output parameters of the boiler and its NO x emission characteristics

and the system was realized by using genetic algorithm for guiding the optimization of operation under low NO x combustion in the boiler. The said system is adopting Browser/server mode

to implement combustion optimization based on Internet/Intranet programming for the said large-capacity utility boiler.

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Related Author

ZHAO Min

YAN Wen-jun

ZHENG JunCollege of Electrical Engineering

DONG Jianxun1

ZHANG Haifu1

MA Zhijie2

GAO Demin1

YANG Hui1

Related Institution

School of Electrical Engineering, Zhejiang University

China Power Investment Mengdong Energy Group Co., Ltd

Northeast Electric Power Research Institute Co., Ltd

State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology

Jiaozuo Power Plant

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GUIDING SYSTEM OF OPTIMATION BASED ON Internet/Intranet PROGRAMMING FOR LOW NOx COMBUSTION IN BOILERS OF THERMAL POWER PLANT

DOI：10.19666/j.rlfd.2003.02.003

摘要

Abstract

关键词

Keywords

references

GUIDING SYSTEM OF OPTIMATION BASED ON Internet/Intranet PROGRAMMING FOR LOW NO_x COMBUSTION IN BOILERS OF THERMAL POWER PLANT