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Adaptive linear neural network approach for three-phase four-wire active power filtering under non-ideal grid and unbalanced load scenarios

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dc.citedby5
dc.contributor.authorHoon Y.en_US
dc.contributor.authorRadzi M.A.M.en_US
dc.contributor.authorAl-Ogaili A.S.en_US
dc.contributor.authorid56102883500en_US
dc.contributor.authorid57202803173en_US
dc.contributor.authorid57189511897en_US
dc.date.accessioned2023-05-29T07:22:29Z
dc.date.available2023-05-29T07:22:29Z
dc.date.issued2019
dc.description.abstractThis paper presents the enhancements performed on the adaptive linear neuron (ADALINE) technique so that it can be applied for active power filtering purposes in a three-phase four-wire system. In the context of active power filtering, the ADALINE technique which was initially developed for a single-phase two-wire system has been further expanded to suit three-phase three-wire system. For both systems, ADALINE techniques have been reported to be effective even when the grid voltage is distorted and/or unbalanced. However, further works that study the possibility to apply ADALINE technique in a three-phase four-wire system which invariably carries unbalanced loads, are rather limited. Hence, in this work, a control algorithm (named as enhanced-ADALINE) which combines the strength of highly selective filter (HSF), ADALINE concept and averaging function is proposed, to manage harmonics mitigation by shunt active power filter (SAPF) under non-ideal grid and unbalanced load scenarios. MATLAB-Simulink software is utilized to conduct an exhaustive simulation study which includes circuit connection of SAPF in a three-phase four-wire system, design of control algorithms, and performance assessments. Benchmarking with the existing algorithm is performed to examine the benefits of using the proposed algorithm. From the analysis, simulation findings are presented and thoroughly discussed to verify design concept, capability, and relevance of the proposed algorithm. � 2019 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5304
dc.identifier.doi10.3390/app9245304
dc.identifier.issue24
dc.identifier.scopus2-s2.0-85077312356
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85077312356&doi=10.3390%2fapp9245304&partnerID=40&md5=cc1e3b3dc9a8f77f63b914f7bc9b968d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24263
dc.identifier.volume9
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleApplied Sciences (Switzerland)
dc.titleAdaptive linear neural network approach for three-phase four-wire active power filtering under non-ideal grid and unbalanced load scenariosen_US
dc.typeArticleen_US
dspace.entity.typePublication
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