STUDY ON APPLICATION OF INTELLIGENT COMBUSTION-OPTIMIZING TECHNOLOGY ON UTILITY BOILERS

WU Zhi-qun1; HUANG Ting-hui1; HU Hong-hua1; L Wen-liang21.Xi'an Thermal Power Research Institute Co Ltd

doi:10.19666/j.rlfd.2008.09.007

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STUDY ON APPLICATION OF INTELLIGENT COMBUSTION-OPTIMIZING TECHNOLOGY ON UTILITY BOILERS

更新时间：2025-09-28

- STUDY ON APPLICATION OF INTELLIGENT COMBUSTION-OPTIMIZING TECHNOLOGY ON UTILITY BOILERS
- Thermal Power Generation Issue 9, Pages: 23-27(2008)
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 中电投清河发电有限公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2008.09.007
  CLC： TK227.1
- Published：2008
- 稿件说明：
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WU Zhi-qun1, HUANG Ting-hui1, HU Hong-hua1, et al. STUDY ON APPLICATION OF INTELLIGENT COMBUSTION-OPTIMIZING TECHNOLOGY ON UTILITY BOILERS[J]. Thermal power generation, 2008, (9): 23-27.
DOI：

WU Zhi-qun1, HUANG Ting-hui1, HU Hong-hua1, et al. STUDY ON APPLICATION OF INTELLIGENT COMBUSTION-OPTIMIZING TECHNOLOGY ON UTILITY BOILERS[J]. Thermal power generation, 2008, (9): 23-27. DOI： 10.19666/j.rlfd.2008.09.007.

摘要

采用径向基神经网络建立了锅炉燃烧输入与输出参数的智能优化模型

分析了不同径向基函数分布密度对模型预测精度的影响

应用基于实数编码方式的遗传算法实现了运行操作参数的实时寻优。通过某电厂600MW机组的实际应用

燃烧调整过程中实际运行参数的获得可用于指导锅炉运行人员的操作

使优化操作后的锅炉效率得到了提高。

Abstract

Adopting radial radical neural network

an intelligent optimizing model for input and output parameters of combustion has been established

the influence of distribution density in different radial radical functin upon prediction accuracy of the model being analysed.By using genetic algorithm based on real-number coding method

the real-time optimization of manipulating parameters in operation has been realized.Through practical application on 600 MW unit in one power plant

the obtained actual operation parameters in the process of combustion regulation have guiding significance for manipulation of boiler operations

the boiler efficiency after optimization of manipulation being enhanced

the optimization of combustion in the boiler being realized.

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