基于Internet/Intranet的火电厂锅炉低NO_x燃烧优化指导系统  

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

作　　者：周昊[1] 朱洪波[2] 岑可法[1] 

机构地区：[1]浙江大学,浙江杭州310027 [2]广东省电力集团公司,广东广州516000

出　　处：《热力发电》2003年第2期8-11,共4页Thermal Power Generation

基　　金：国家重点基础研究专项经费资助

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 。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.

关 键 词：Internet INTRANET 火电厂 锅炉 低NOX燃烧 优化 指导系统 氮氧化物 神经网络 遗传算法 

分 类 号：TM621.2[电气工程—电力系统及自动化] TK227.1[动力工程及工程热物理—动力机械及工程]