电站锅炉低NO_x排放的参数辨识  

Parametric Identification of Low NO_x Emitted by Power Station Boilers

作　　者：梁森[1] 李凌[2] 

机构地区：[1]上海电机学院电气工程系,上海200240 [2]上海理工大学动力工程学院,上海200093

出　　处：《动力工程》2006年第5期670-675,共6页Power Engineering

摘　　要：阐述了参数辨识和神经网络的基本概念,针对某电厂600 MW机组锅炉NOx排放状况,收集了大量有关锅炉运行参数、NOx排放量和锅炉效率等数据,建立了相应的数学模型,运用人工神经网络智能参数辨识方法,研究得出了NOx排放量与各运行参数以及锅炉效率的定量关系,为进一步提高锅炉运行的经济性,实现优化控制及低NOx排放提供了一种便捷的方法。The basic concepts conceming parametric identification and neural networks is being elucidated; with NOx emission conditions of a power plant＇ s 600MW boiler as the object of study, a large amount of data concerning the boiler＇ s operational parameters, NOx emission and boiler efficiency have been recorded, with which relevant mathematical models are set up and, applying identification methods by artificial neural networks, the quantitative relationship between NO, emission and operational parameters and boiler efficiency as well ale obtained. Herewith a facile way of raising the boiler＇s operational profitability, optimizing control and reducing NOx emission has been provided. Figs 6, tables 2 and refs 3.

关 键 词：自动控制技术 燃煤锅炉 参数辨识 人工神经网络 建模 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]