摘要
提出了一种基于人工神经元网络（ＡＮＮ）的电力系统谐波测量方法。所设计的谐波测量系统在线训练ＡＮＮ，具有二级滤波，可实时并行测量指定各次谐波的幅值和相位，仿真结果证实了该测量方法的有效性。
An approach of measuring harmonics in power system based on artificial neural network (ANN) is put forward in this paper. In this harmonic measurement system the two level adaptive filter, the self adaptive noise countervailing principle and the ANN self adaptive detecting principle are applied. The ANN can be trained in on line manner, and the detecting part can detect the amplitude and phase position of assigned order of harmonics precisely on real time. Simulation results show that this approach is effective.
出处
《电网技术》
EI
CSCD
北大核心
1999年第12期20-23,共4页
Power System Technology
关键词
电力系统
谐波测量
人工神经元网络
信号处理
self adaptive noise countervailing
artificial neural network (ANN)
harmonic measurement
