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Particle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigation

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dc.citedby6
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorSebastian G.en_US
dc.contributor.authorAl-Shetwi A.Q.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorRahman S.A.en_US
dc.contributor.authorMansor M.en_US
dc.contributor.authorMuttaqi K.M.en_US
dc.contributor.authorUddin M.en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57226837069en_US
dc.contributor.authorid57004922700en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid6602374364en_US
dc.contributor.authorid6701749037en_US
dc.contributor.authorid55582332500en_US
dc.contributor.authorid58518468200en_US
dc.date.accessioned2024-10-14T03:18:06Z
dc.date.available2024-10-14T03:18:06Z
dc.date.issued2023
dc.description.abstractThe objective of this research is to propose an innovative method for improving the efficiency and productivity of fuzzy logic controllers (FLCs) under the influence of harmonics in non-linear loads, by using particle swarm optimization (PSO) for solid-state transfer switch (SSTS). A PSO-based FLC (PSOF) fitness function is introduced to optimize the load transfer performance by minimizing the mean squared error (MSE) in a short period of time. The traditional and time-consuming method of deriving membership functions (MFs) is avoided by utilizing adaptive MFs created from the fitness function evaluation results, which are incorporated into voltage error and rate of change of voltage error for input and output. A harmonic filter is employed to remove unwanted harmonic components generated by both linear and non-linear loads. The effectiveness of the proposed control system is evaluated with and without PSO, and the results demonstrate that optimization with PSO reduces transfer times by approximately 2 ms, 4.35 ms, 3.68 ms, and 3.56 ms for 100%, 50%, 25%, and 10%, respectively. The optimized fuzzy controller yields total transfer times of 0.5 ms, 8.72 ms, 7.88 ms, and 7.32 ms for 100%, 50%, 25%, and 10% voltage sag, respectively. Through simulation tests of the SSTS system, the accuracy and effectiveness of the developed FLC and design procedure are demonstrated. The optimized fuzzy controller shows superior performance in terms of transfer time, detection time, and harmonic reduction in comparison to those obtained without the PSO algorithm in all tested cases. � 1972-2012 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/TIA.2023.3289440
dc.identifier.epage5579
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85163511785
dc.identifier.spage5570
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85163511785&doi=10.1109%2fTIA.2023.3289440&partnerID=40&md5=d3ec31810060746481389f297a84b707
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34133
dc.identifier.volume59
dc.pagecount9
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE Transactions on Industry Applications
dc.subjectController
dc.subjectharmonic elimination
dc.subjectoptimization
dc.subjectpower quality
dc.subjectpower transfer
dc.subjectsolid-state transfer switch
dc.subjectComputer circuits
dc.subjectControllers
dc.subjectEnergy transfer
dc.subjectErrors
dc.subjectFuzzy logic
dc.subjectHarmonic analysis
dc.subjectMean square error
dc.subjectMembership functions
dc.subjectParticle swarm optimization (PSO)
dc.subjectQuality control
dc.subjectTraffic signals
dc.subjectFuzzy controllers
dc.subjectFuzzy logic controllers
dc.subjectFuzzy-Logic
dc.subjectHarmonic elimination
dc.subjectOptimisations
dc.subjectParticle swarm
dc.subjectPower transfers
dc.subjectSolid-state transfer switches
dc.subjectSwarm optimization
dc.subjectPower quality
dc.titleParticle Swarm Optimization Algorithm Based Fuzzy Controller for Solid-State Transfer Switch Toward Fast Power Transfer and Power Quality Mitigationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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