摘要
介绍应用于某200 MW机组锅炉、基于神经元网络在线辨识技术的锅炉燃烧优化系统的结构和实现方式,讨论基于神经元网络的优化模型和优化算法,并在同类型仿真机上进行了仿真实验,证明了锅炉燃烧优化系统的正确性和有效性。
This paper briefs the optimization system configuration of utility boiler combustion and its realization mode on one 200 MW boiler based on the on-line recognition technology of neural network, discusses the optimization model and algorithm, which have been illustrated on the similar type simulator, with the effectiveness and validity proved.
出处
《中国电力》
CSCD
北大核心
2004年第6期75-77,共3页
Electric Power
关键词
电厂
锅炉
燃烧优化系统
神经元网络
在线辨识
utility boiler
combustion optimization system
neural network
optimization algorithm
