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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Institution of Engineering and Technology
2014
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939497869&doi=10.1049%2fcp.2014.1489&partnerID=40&md5=5831e7a6e2a02730f3d8278add32368a |
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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 |
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language |
English |
format |
Conference paper |
accesstype |
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record_format |
scopus |
collection |
Scopus |
_version_ |
1809678161599791104 |