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基于人工神经元网络的电力系统谐波测量方法
引用本文:危韧勇,李志勇. 基于人工神经元网络的电力系统谐波测量方法[J]. 电网技术, 1999, 23(12): 20-23
作者姓名:危韧勇  李志勇
作者单位:长沙铁道学院信息学院,410075,长沙
摘    要:提出了了一种基于人工神经网络(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和相位,仿真结果证实了该测量的有效性。

关 键 词:自适应噪声对消技术  人工神经元网络  谐波  测量
修稿时间:1999-07-12

MEASUREMENT OF HARMONICS IN POWER SYSTEM BASED ON ARTIFICIAL NEURAL NETWORK
Wei Renyong,Li Zhiyong. MEASUREMENT OF HARMONICS IN POWER SYSTEM BASED ON ARTIFICIAL NEURAL NETWORK[J]. Power System Technology, 1999, 23(12): 20-23
Authors:Wei Renyong  Li Zhiyong
Abstract: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.
Keywords:self adaptive noise countervailing  artificial neural network (ANN)  harmonic measurement
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