摘要
为达到节能降耗、减少污染物排放的目的,提出了智能逻辑和混合模型动态控制策略相结合的智能混合模型预测控制技术,建立了汽温控制和燃烧优化两大控制模块。汽温控制模块主要控制主蒸汽温度、再热蒸汽温度;燃烧优化控制模块主要控制锅炉效率和降低NOx的排放量。以某电厂4号机组为例,介绍了该技术的应用和实施结果:主蒸汽温度能够有效控制在设定值±5℃以内,锅炉效率提高了0.37%,NOx的排放浓度降低了16.46%。
In order to save energy and reduce consumption, as well as to decrease pollutants emission, an intelligent hybrid model predictive control technology, which combines intelligent logic with hybrid model dynamic control strategy, has been put forward, two large control modules for steam temperature control and for combustion optimization being established. The steam temperature control module is mainly used for controlling the main steam temperature and the reheated steam temperature; the combustion optimization module is mainly used for controlling the boiler efficiency and reducing NOx emission. Taking unit no. 4 in one power plant as example,the application of said technology and result of implementation have been presented. After implementation of the intelligent hybrid model predictive control technology,the main steam temperature can be effectively controlled within the set value 4-5 ℃ ,the boiler efficiency being enhanced by 0.37% ,the concentration of NOx emission being decreased by 16.64%.
出处
《热力发电》
CAS
北大核心
2009年第10期74-77,80,共5页
Thermal Power Generation
关键词
节能减排
智能混合模型
模型预测
燃烧优化
循环效率优化
energy - saving and emission - reduing
intelligent hybrid model
model prediction
combustion optimization
cycle efficiency optimization
