Study on Adaptive Harmonic Extraction Approaches in Active Power Filter Applications

Active power filter (APF) has now become a mature technology for harmonic and reactive power compensations in two-wire (single phase), three-wire (three phase without neutral), and four-wire (three phase with neutral) ac power networks with nonlinear loads. This paper presents a study on three diffe...

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Main Authors: Fereidouni, Alireza, Masoum, Mohammad Sherkat
Format: Journal Article
Published: International Association of Engineers 2014
Subjects:
Online Access:http://www.engineeringletters.com/issues_v22/issue_4/EL_22_4_07.pdf
http://hdl.handle.net/20.500.11937/25851
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author Fereidouni, Alireza
Masoum, Mohammad Sherkat
author_facet Fereidouni, Alireza
Masoum, Mohammad Sherkat
author_sort Fereidouni, Alireza
building Curtin Institutional Repository
collection Online Access
description Active power filter (APF) has now become a mature technology for harmonic and reactive power compensations in two-wire (single phase), three-wire (three phase without neutral), and four-wire (three phase with neutral) ac power networks with nonlinear loads. This paper presents a study on three different adaptive algorithms for active power filtering applications. These algorithms are adaptive linear combiner (ADALINE), least mean square adaptive notch filter (ANF-LMS), and recursive least square adaptive notch filter (ANF-RLS). In this paper, these approaches are employed for extracting load harmonic currents. The important issues associated with adaptive methods are accuracy and prediction speed. These issues will be addressed in the paper. Simulations using MATLAB/Simulink are presented to clarify the algorithms.
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publishDate 2014
publisher International Association of Engineers
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spelling curtin-20.500.11937-258512017-01-30T12:50:33Z Study on Adaptive Harmonic Extraction Approaches in Active Power Filter Applications Fereidouni, Alireza Masoum, Mohammad Sherkat Harmonics adaptive linear combiner (ADALINE) adaptive notch filter (ANF) active power filters (APFs) Active power filter (APF) has now become a mature technology for harmonic and reactive power compensations in two-wire (single phase), three-wire (three phase without neutral), and four-wire (three phase with neutral) ac power networks with nonlinear loads. This paper presents a study on three different adaptive algorithms for active power filtering applications. These algorithms are adaptive linear combiner (ADALINE), least mean square adaptive notch filter (ANF-LMS), and recursive least square adaptive notch filter (ANF-RLS). In this paper, these approaches are employed for extracting load harmonic currents. The important issues associated with adaptive methods are accuracy and prediction speed. These issues will be addressed in the paper. Simulations using MATLAB/Simulink are presented to clarify the algorithms. 2014 Journal Article http://hdl.handle.net/20.500.11937/25851 http://www.engineeringletters.com/issues_v22/issue_4/EL_22_4_07.pdf International Association of Engineers fulltext
spellingShingle Harmonics
adaptive linear combiner (ADALINE)
adaptive notch filter (ANF)
active power filters (APFs)
Fereidouni, Alireza
Masoum, Mohammad Sherkat
Study on Adaptive Harmonic Extraction Approaches in Active Power Filter Applications
title Study on Adaptive Harmonic Extraction Approaches in Active Power Filter Applications
title_full Study on Adaptive Harmonic Extraction Approaches in Active Power Filter Applications
title_fullStr Study on Adaptive Harmonic Extraction Approaches in Active Power Filter Applications
title_full_unstemmed Study on Adaptive Harmonic Extraction Approaches in Active Power Filter Applications
title_short Study on Adaptive Harmonic Extraction Approaches in Active Power Filter Applications
title_sort study on adaptive harmonic extraction approaches in active power filter applications
topic Harmonics
adaptive linear combiner (ADALINE)
adaptive notch filter (ANF)
active power filters (APFs)
url http://www.engineeringletters.com/issues_v22/issue_4/EL_22_4_07.pdf
http://hdl.handle.net/20.500.11937/25851