摘要
简要分析了谐波污染现状及谐波检测方法,设计了一种用于有源电力滤波的神经网络的谐波检测器,仿真结果表明,与传统的谐波检测相比,基于该神经网络的谐波检测模块具有更快速、精确的特性。
The present situation of harmonic pollution and the methods of harmonic detection are briefly analyzed in this thesis.Harmonic detection is studied,including the harmonic detection based on the generalized instantaneous reactive power theory and feed-forward neural network.Simulations show that harmonic detection based on neural network is fast and accurate.
出处
《仪表技术》
2010年第12期1-4,共4页
Instrumentation Technology
基金
安徽省高校优秀青年人才基金项目(2009SQRZ170)
关键词
谐波
神经网络
谐波检测
harmonic
neural network
harmonic detection
