An application of neural network in power system harmonic detection

Author

Rukonuzzaman, Md. ; Zin, A. A Mohd ; Shaibon, H. ; Lo, K.L.

Author_Institution

Fac. of Electr. Eng., Malaya Teknologi Univ., Malaysia

Volume

1

fYear

1998

fDate

4-8 May 1998

Firstpage

74

Abstract

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

Keywords

digital simulation; multilayer perceptrons; power engineering computing; power system harmonics; 3rd harmonic component; 5th harmonic component; 7th harmonic component; multilayer perceptron neural network; power distribution systems; power system harmonic detection; Computer errors; Computer simulation; Multi-layer neural network; Multilayer perceptrons; Neural networks; Phase detection; Power distribution; Power electronics; Power system harmonics; Power system simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.682239

Filename

682239