摘要
介绍一个基于自适应神经元的同期智能控制器。探讨使用两个神经元进行频率相角复合同期控制器的设计方法，给出一种神经元权系数初值的选取方法，进行了实验室和电站试验。结果表明这种新颖的同期控制器具有良好的控制品质，可使水轮机组启动后快速进入同期点，提供每分钟８次左右的并网机会，具有工程应用前景。
An intelligent sychrolization controller based on adaptive neuron is introduced in this paper. Themethod of designing frequency ,and phase compositive sychrolization controller using two neurons is stud-ied ,and initial value selection method of neuron weighting coeffiecient is presented and experiments are carried out both in laberatory and in power station. The results show that this novel sychrolization controllerhas good control property which can make turbine fast go into sychrolization point and provided 8 timesbreaker operation chances per miniter,which processes profound engipeering application forheads.
出处
《电力系统自动化》
EI
CSCD
北大核心
1994年第5期47-51,共5页
Automation of Electric Power Systems
关键词
同期控制
神经网络
水轮机
sychrolization control neural network hydraulic turbine generator set compositive control
