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Optimal extraction of photovoltaic energy using fuzzy logic control for maximum power point tracking technique

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dc.citedby8
dc.contributor.authorChalok K.H.en_US
dc.contributor.authorTajuddin M.F.N.en_US
dc.contributor.authorBabu T.S.en_US
dc.contributor.authorAyob S.M.en_US
dc.contributor.authorSutikno T.en_US
dc.contributor.authorid57217296679en_US
dc.contributor.authorid35590716200en_US
dc.contributor.authorid56267551500en_US
dc.contributor.authorid8400307300en_US
dc.contributor.authorid35794013800en_US
dc.date.accessioned2023-05-29T08:13:10Z
dc.date.available2023-05-29T08:13:10Z
dc.date.issued2020
dc.description.abstractIn photovoltaic (PV) systems, maximum power point tracking (MPPT) techniques are used to track the maximum power from the PV array under the change in irradiance and temperature conditions. The perturb and observe (P&O) is one of the most widely used MPPT techniques in recent times due to its simple implementation and improved performance. However, the P&O has limitations such as oscillation around the MPP during which time the P&O algorithm will become confused due to rapidly changing atmospheric conditions. To overcome the above limitation, this paper uses the fuzzy logic controller (FLC) to track the maximum power from the PV system under different irradiance, integrates it with a DC-DC boost converter as a tracker. The result of the FLC performance is compared with the traditional P&O method and shows the MPPT algorithm based on FLC ensures continuous tracking of the maximum power within a short period compared with the traditional P&O method. Besides that, the proposed method (FLC) has a faster dynamic response and low oscillations at the operating point around the MPP under steady-state conditions and dynamic change in irradiance. � 2020, Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijpeds.v11.i3.pp1628-1639
dc.identifier.epage1639
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85087003536
dc.identifier.spage1628
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85087003536&doi=10.11591%2fijpeds.v11.i3.pp1628-1639&partnerID=40&md5=1d575f71ff77b13e387bd9058e090272
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25712
dc.identifier.volume11
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleInternational Journal of Power Electronics and Drive Systems
dc.titleOptimal extraction of photovoltaic energy using fuzzy logic control for maximum power point tracking techniqueen_US
dc.typeArticleen_US
dspace.entity.typePublication
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