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Particle Swarm Optimised Controller for Solid-State Transfer Switch Towards Fast Power Transfer and PQ Mitigation

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dc.contributor.authorSebastian G.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorAl-Shetwi A.Q.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorMuttaqi K.M.en_US
dc.contributor.authorUddin M.N.en_US
dc.contributor.authorid57226837069en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57004922700en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid55582332500en_US
dc.contributor.authorid55663372800en_US
dc.date.accessioned2023-05-29T09:39:05Z
dc.date.available2023-05-29T09:39:05Z
dc.date.issued2022
dc.descriptionControllers; Energy transfer; Errors; Fuzzy logic; Harmonic analysis; Particle swarm optimization (PSO); Power quality; Fitness functions; Fuzzy logic controllers; Harmonic elimination; Nonlinear load; Optimisations; Particle swarm; Power transfers; Solid-state transfer switches; Swarm optimization; Transfer time; Membership functionsen_US
dc.description.abstractThis study proposes a solid-state transfer switch (SSTS) using fuzzy logic controller (FLC) design approach for enhancing the productivity and effectiveness of FLCs under harmonics conditions of a non-linear load using particle swarm optimization (PSO). A PSO-based FLC (PSOF) fitness function is also used to optimise and reduce the MSE to enhance the load transfer performance in a short period of time. The PSOF approach eliminates the time-consuming conventional trial-and-error method of deriving membership functions (MFs). Based on the fitness function evaluation findings, the created adaptive MFs are incorporated into voltage error and rate of change of voltage error for input and output. A harmonic filter is used to remove unwanted harmonic components induced by linear and nonlinear loads. To make sure the proposed control system works, the results are looked at both with and without PSO. The obtained transfer times were reduced by about 2ms, 4.35ms, 3.68ms and 3.56ms for 100%, 50%, 25% and 10% respectively, by optimising the fuzzy based system with PSO. Optimisation resulted in a total transfer time of 0.5ms, 8.72ms, 7.88ms and 7.32ms for 100%, 50%, 25% and 10% voltage sag, respectively. The design procedure and accuracy of the developed FLC are illustrated and investigated via simulation tests for the SSTS system. Results show that the optimised fuzzy controller is better than those obtained without the PSO algorithm in all tested cases in terms of transfer time and detection time and harmonic reduction. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/IAS54023.2022.9940031
dc.identifier.scopus2-s2.0-85142860765
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85142860765&doi=10.1109%2fIAS54023.2022.9940031&partnerID=40&md5=ef28dcc98151e44bac454183fadc81ea
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27055
dc.identifier.volume2022-October
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
dc.titleParticle Swarm Optimised Controller for Solid-State Transfer Switch Towards Fast Power Transfer and PQ Mitigationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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