Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System

被引：9

作者：

Nascimento, C. F. ^{[1
]}

Oliveira, A. A., Jr. ^{[2
]}

Goedtel, A. ^{[3
]}

Silva, I. N. ^{[2
]}

Serni, P. J. A. ^{[4
]}

机构：

[1] UFABC, Ctr Engn, St Andre, SP, Brazil

[2] USP, Dept Engn Eletr, Sao Carlos, SP, Brazil

[3] UTFPR CP, Dept Electrotecn, Cornelio Procopio, PR, Brazil

[4] UNESP FEB, Dept Engn Eletr, Bauru, SP, Brazil

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2010年 / 8卷 / 01期

关键词：

Harmonics; power system; artificial neural networks; ACTIVE POWER FILTER; ALGORITHM; VOLTAGE;

D O I：

10.1109/TLA.2010.5453948

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper an alternative method based on artificial neural networks is presented to determine harmonic components in the load current of a single-phase electric power system with nonlinear loads, whose parameters can vary so much in reason of the loads characteristic behaviors as because of the human intervention. The first six components in the load current are determined using the information contained in the time-varying waveforms. The effectiveness of this method is verified by using it in a single-phase active power filter with selective compensation of the current drained by an AC controller. The proposed method is compared with the fast Fourier transform.

引用

页码：65 / 73

页数：9

共 25 条

[1] A unified artificial neural network architecture for active power filters [J].