Single phase shunt active power filter with simplified ADALINE neural network

Shunt active power filter is known as powerful tool to compensate current harmonics. Previous development of its controller was by using modified ADALINE algorithm for harmonics extraction, which somehow still having complex features. Therefore, this paper presents three major improvements to the al...

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Published in:IET Seminar Digest
Main Author: Mohd Zainuri M.A.A.; Radzi M.A.M.; Abdul Rahman N.F.A.; Soh A.C.; Rahim N.A.
Format: Conference paper
Language:English
Published: Institution of Engineering and Technology 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939497869&doi=10.1049%2fcp.2014.1489&partnerID=40&md5=5831e7a6e2a02730f3d8278add32368a
id 2-s2.0-84939497869
spelling 2-s2.0-84939497869
Mohd Zainuri M.A.A.; Radzi M.A.M.; Abdul Rahman N.F.A.; Soh A.C.; Rahim N.A.
Single phase shunt active power filter with simplified ADALINE neural network
2014
IET Seminar Digest
2014
CP659
10.1049/cp.2014.1489
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939497869&doi=10.1049%2fcp.2014.1489&partnerID=40&md5=5831e7a6e2a02730f3d8278add32368a
Shunt active power filter is known as powerful tool to compensate current harmonics. Previous development of its controller was by using modified ADALINE algorithm for harmonics extraction, which somehow still having complex features. Therefore, this paper presents three major improvements to the algorithm in related to sine and cosine vectors, weight updating algorithm, and average square error. The proposed algorithm is designed and developed in shunt APF's controller, and the shunt APF is simulated in MATLAB/Simulink. The simulation results show significant improvement as compared to the previous algorithm.
Institution of Engineering and Technology

English
Conference paper

author Mohd Zainuri M.A.A.; Radzi M.A.M.; Abdul Rahman N.F.A.; Soh A.C.; Rahim N.A.
spellingShingle Mohd Zainuri M.A.A.; Radzi M.A.M.; Abdul Rahman N.F.A.; Soh A.C.; Rahim N.A.
Single phase shunt active power filter with simplified ADALINE neural network
author_facet Mohd Zainuri M.A.A.; Radzi M.A.M.; Abdul Rahman N.F.A.; Soh A.C.; Rahim N.A.
author_sort Mohd Zainuri M.A.A.; Radzi M.A.M.; Abdul Rahman N.F.A.; Soh A.C.; Rahim N.A.
title Single phase shunt active power filter with simplified ADALINE neural network
title_short Single phase shunt active power filter with simplified ADALINE neural network
title_full Single phase shunt active power filter with simplified ADALINE neural network
title_fullStr Single phase shunt active power filter with simplified ADALINE neural network
title_full_unstemmed Single phase shunt active power filter with simplified ADALINE neural network
title_sort Single phase shunt active power filter with simplified ADALINE neural network
publishDate 2014
container_title IET Seminar Digest
container_volume 2014
container_issue CP659
doi_str_mv 10.1049/cp.2014.1489
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939497869&doi=10.1049%2fcp.2014.1489&partnerID=40&md5=5831e7a6e2a02730f3d8278add32368a
description Shunt active power filter is known as powerful tool to compensate current harmonics. Previous development of its controller was by using modified ADALINE algorithm for harmonics extraction, which somehow still having complex features. Therefore, this paper presents three major improvements to the algorithm in related to sine and cosine vectors, weight updating algorithm, and average square error. The proposed algorithm is designed and developed in shunt APF's controller, and the shunt APF is simulated in MATLAB/Simulink. The simulation results show significant improvement as compared to the previous algorithm.
publisher Institution of Engineering and Technology
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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