Adaptive on-line tracking of power system harmonics using ADALINE

Author

Wang Jing Jing ; Jindapetch, Nattha ; Sengchuai, Kiattisak

Author_Institution

Dept. of Electr. Eng., Prince of Songkla Univ., Songkhla, Thailand

fYear

2015

Firstpage

1

Lastpage

6

Abstract

The active power harmonic filtering is performed by injecting equal-but-opposite of the distortion into the power line. The harmonic on-line tracking is an essential part of the filtering process. In this paper, the linear adaptive neurons (ADALINE), a version of ANN (Artificial Neural Network), is used to perform adaptive on-line tracking of the power system harmonics. The ADALINE can not only accurately estimate the dynamic harmonic amplitudes but also adaptively track the dynamic fundamental frequency in the power system. Moreover, we also proposed the adaptive learning rate for bringing the faster convergence.

Keywords

active filters; amplitude estimation; distortion; learning (artificial intelligence); neural nets; power cables; power engineering computing; power harmonic filters; power system harmonics; ADALINE; ANN; active power harmonic filtering; adaptive dynamic fundamental frequency tracking; adaptive learning rate; adaptive online power system harmonics tracking; artificial neural network; convergence; distortion; dynamic harmonic amplitude estimation; linear adaptive neurons; power line; Artificial neural networks; Convergence; Distortion; Harmonic analysis; Least squares approximations; Power harmonic filters; ADALINE; Harmonic analysis; LMS;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th International Conference on

Conference_Location

Hua Hin

Type

conf

DOI

10.1109/ECTICon.2015.7207024

Filename

7207024