摘要
由于电力市场竞争的日益激烈,电力企业纷纷采用先进的控制策略和手段来加强市场竞争力。因此,将模糊逻辑、神经网络等智能技术与基于模型的控制技术引入过程控制领域,形成先进过程优化控制的研究得到广泛关注。本文介绍了一种蒸汽温度优化控制系统在火电厂中的应用,设计了两种动态的优化过程,分别基于模糊控制和神经网络,并通过测试验证了该方案的应用,可明显有效地提高电厂运行效率,控制汽温范围,具有较强的现实意义。
As a result of more and more aggressive competition,power plants are taking steps to strength their ability by applying advanced control strategy and technology.Therefore,the study of advanced process control (APC) composed of model control technology and intelligent control strategy such as Fuzzy Logic,Neural Network got popularly attention. Here we introduce an application of advanced steam temperature control strategy on fuel power station.There are two kinds of control were designed based on Fuzzy Logic and Neural Network.After testing,it indicated that the efficiency of the power plant could be distinctly improved by the application of these advanced control technology.
出处
《热能动力工程》
CAS
CSCD
北大核心
2005年第4期430-432,共3页
Journal of Engineering for Thermal Energy and Power
