A Neural Network Adaptive Detecting Approach of Harmonic Current

被引：0
|
作者：
Dai Wenjin [1 ]
Xie Youhui [1 ]
Dai Yongtao [1 ]
机构：
[1] Nanchang Univ, Dept Elect & Automat Engn, Nanchang 330031, Peoples R China
来源：
ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 1 | 2008年
关键词：
Artificial neural network (ANN); Active power filter (APF); Harmonic detecting; Reactive power;
D O I：
10.1109/ISISE.2008.176
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A neural network adaptive detecting approach of harmonic current for APF (Active Power Filter) is proposed in this paper. It bases on the Adaptive Noise Canceling Technology (ANCT). Regarding the fundamental current as noise source, it can be cancelled from the load current, and then the harmonic current is obtained. Artificial Neural Network (ANN) with two layers is used to cancel the harmonics. The structure of this neural network and the adaptive adjusting algorithm are presented. The study has been carried out through detail digital dynamic simulation using the MATLAB Simulink Power System Toolbox. The results of simulation show that this approach can detect harmonic components at real time with high precision, little calculation and strong adaptive ability.
引用
收藏
页码：307 / 311
页数：5
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