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›› 2004, Vol. 4 ›› Issue (6): 549-553.

• 系统与集成 • 上一篇    下一篇

软测量技术在电站锅炉优化燃烧上的应用

李智,蔡九菊,徐有宁,郭宏   

  1. 东北大学热能工程系
  • 出版日期:2004-12-20 发布日期:2004-12-20

Application of the Soft Measurement Technology to Optimization System of Boiler Burning at Power Station

LI Zhi,CAI Jiu-ju,XU You-ning,GUO Hong   

  1. Department of Thermal Engineering, Northeastern University, Shenyang
  • Online:2004-12-20 Published:2004-12-20

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摘要： 针对阜新电厂200 MW机组燃煤锅炉进行了多工况热态测试，获得了飞灰含碳量的现场数据样本，运用Back Propagation(BP)神经网络和Levenberg Marquardt(LM)算法建立了电站锅炉飞灰含碳量的软测量模型，并构造了飞灰含碳量的测量系统. 在此基础上开发了电站锅炉燃烧优化系统，实现了阜新电厂200 MW机组锅炉燃烧优化控制.

关键词: 锅炉, BP神经网络, 飞灰含碳量, 软测量, 燃烧优化

Abstract: The unburned carbon content in the fly ash of a 200 MW unit coal burning boiler at Fuxin Power Plant is tested and data specimens have been gained. By taking back propagation (BP) neural network based on Levenberg-Marquardt (LM) algorithm, the soft measurement model of the unburned carbon content in fly ash is established. The measurement system of the unburned carbon content in the fly ash is made up of the soft measurement model. With the help of it, the optimization system of utility boiler combustion has been developed, which is used to realize optimal adjustment of a 200 MW unit coal burning boiler at Fuxin Power Plant.

Key words: boiler, BP neural network, unburned carbon, soft measurement, burning optimizatio