An application of neural network in power system harmonic detection

被引：0

作者：

Rukonuzzaman, M ^{[1
]}

Zin, AAM ^{[1
]}

Shaibon, H ^{[1
]}

Lo, KL ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Fac Elect Engn, Scudai, Malaysia

来源：

IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE | 1998年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Widely distributed power electronic loads are an increasingly important source of harmonics in power system. The objective of this paper is to detect the components (magnitudes and phases) of harmonics in power distribution system by means of the Multilayer Perceptron(MLP) Neural Network. In this paper the detection of 3rd, 5th and 7th harmonic components has been verified by means of the computer simulation. This method of harmonic defection has the advantage that it can determine harmonic components in real time. It is seen that neural network can determine the harmonic components with very low error.

引用

页码：74 / 78

页数：5