Cart (Loading....) | Create Account
Close category search window
 

Analysis of harmonic detection algorithms and their application to active power filters for harmonics compensation and resonance damping

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)

In this paper, the performance of four harmonic detection methods is evaluated in terms of accuracy, speed of convergence, computational complexity and memory requirements; operation with measurement noise and variations of the signal amplitude and fundamental frequency is considered. The harmonic detection algorithms are based on the discrete Fourier transform (DFT), the recursive discrete Fourier transform (RDFT), the Kalman filtering (KF) approach, and the instantaneous reactive power (IRP) theory. Results obtained by simulation with MATLAB/Simulink and their real-time validation with the dSPACE simulator are presented to compare the detection methods. The effectiveness of the algorithms is demonstrated in their application to the control of an active filter and a hybrid active power filter dedicated respectively to harmonics compensation and to harmonic resonance damping in industrial power systems.

Published in:

Electrical and Computer Engineering, Canadian Journal of  (Volume:28 ,  Issue: 1 )

Date of Publication:

January 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.