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An intelligent maximum power point tracking algorithm for Photovoltaic System

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dc.contributor.authorIman M.I.en_US
dc.contributor.authorRoslan M.F.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorid57205235742en_US
dc.contributor.authorid57220188085en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid7103014445en_US
dc.date.accessioned2023-05-29T06:54:19Z
dc.date.available2023-05-29T06:54:19Z
dc.date.issued2018
dc.description.abstractThis work comprehensively demonstrates the performance analysis of Fuzzy Logic Controller (FLC) with Particle Swarm Optimization (PSO) Maximum Power Point Tracker (MPPT) algorithm on a stand-alone Photovoltaic (PV) applications systems. A PV panel, DC-DC Boost converter and resistive load was utilized as PV system. Three different MPPT algorithms were implemented in the converter. The result obtained from the converter was analyzed and compared to find the best algorithm to be used to identify the point in which maximum power can be achieve in a PV system. The objective is to reduce the time taken for the tracking of maximum power point of PV application system and minimize output power oscillation. The simulation was done by using MATLAB/Simulink with DC-DC Boost converter. The result shows that FLC method with PSO has achieved the fastest response time to track MPP and provide minimum oscillation compared to conventional P & O and FLC techniques. � 2018 Authors.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14419/ijet.v7i4.35.22861
dc.identifier.epage462
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85059242034
dc.identifier.spage457
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059242034&doi=10.14419%2fijet.v7i4.35.22861&partnerID=40&md5=67542bb090f2d4efb879a50433e751f9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24015
dc.identifier.volume7
dc.publisherScience Publishing Corporation Incen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Engineering and Technology(UAE)
dc.titleAn intelligent maximum power point tracking algorithm for Photovoltaic Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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