A Neural Network Adaptive Detecting Approach of Harmonic Current

Author

Wenjin, Dai ; Youhui, Xie ; Yongtao, Dai

Author_Institution

Dept. of Electr. & Autom. Eng., Nanchang Univ., Nanchang

Volume

1

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

307

Lastpage

311

Abstract

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.

Keywords

active filters; digital simulation; interference suppression; mathematics computing; neural nets; power engineering computing; power harmonic filters; MATLAB Simulink power system toolbox; active power filter; adaptive adjusting algorithm; adaptive noise canceling technology; artificial neural network; digital dynamic simulation; harmonic current; neural network adaptive detecting approach; Active power filter (APF); Artificial neural network (ANN); Harmonic detecting; Reactive power;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering, 2008. ISISE '08. International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-2727-4

Type

conf

DOI

10.1109/ISISE.2008.176

Filename

4732224