摘要
描述了智能同步断路器的工作原理及功能,提出了基于数字信号处理器DSP(DigitalSignalProcessor)和人工神经网络的实现方法,并采用全波傅氏算法得出了系统电参数。以同步关合空载变压器为例,阐述了利用人工神经网络实现合闸时间预测、进行Matlab仿真及神经网络模型在DSP上的实现方法。
The working principle and functions of intelligent synchronous circuit breaker are described and an implementation approach based on DSP(Digital Signal Processor) and artificial neural network is provided. The electrical parameters of power system are calculated with full-wave Fourier algorithm. With an example of synchronous closing an unloaded transformer,the way to predict the closing time based on artificial neural network is demonstrated,and the simulation with Matlab and modeling of artificial neural network in DSP are offered.
出处
《电力自动化设备》
EI
CSCD
北大核心
2005年第1期21-24,共4页
Electric Power Automation Equipment
关键词
DSP
人工神经网络
同步断路器
自适应控制
DSP
artificial neural network
synchronous circuit breaker
adaptive control
