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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/74216
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dc.contributor.authorDe Brito, Moacyr Aureliano Gomes-
dc.contributor.authorGalotto, Luigi-
dc.contributor.authorSampaio, Leonardo Poltronieri-
dc.contributor.authorDe Azevedo Melo, Guilherme-
dc.contributor.authorCanesin, Carlos Alberto-
dc.date.accessioned2014-05-27T11:27:30Z-
dc.date.accessioned2016-10-25T18:41:03Z-
dc.date.available2014-05-27T11:27:30Z-
dc.date.available2016-10-25T18:41:03Z-
dc.date.issued2013-01-01-
dc.identifierhttp://dx.doi.org/10.1109/TIE.2012.2198036-
dc.identifier.citationIEEE Transactions on Industrial Electronics, v. 60, n. 3, p. 1156-1167, 2013.-
dc.identifier.issn0278-0046-
dc.identifier.urihttp://hdl.handle.net/11449/74216-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/74216-
dc.description.abstractThis paper presents evaluations among the most usual maximum power point tracking (MPPT) techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel [tracking factor (TF)] in relation to the available power, PV voltage ripple, dynamic response, and use of sensors. Using MatLab/Simulink and dSPACE platforms, a digitally controlled boost dc-dc converter was implemented and connected to an Agilent Solar Array E4350B simulator in order to verify the analytical procedures. The main experimental results are presented for conventional MPPT algorithms and improved MPPT algorithms named IC based on proportional-integral (PI) and perturb and observe based on PI. Moreover, the dynamic response and the TF are also evaluated using a user-friendly interface, which is capable of online program power profiles and computes the TF. Finally, a typical daily insulation is used in order to verify the experimental results for the main PV MPPT methods. © 2012 IEEE.en
dc.format.extent1156-1167-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectPhotovoltaic (PV) energy-
dc.subjectPV maximum power point (MPP) tracker (MPPT) algorithms-
dc.subjectPV power profile-
dc.subjectPV tracking factor (TF)-
dc.subjectAgilent-
dc.subjectAnalytical procedure-
dc.subjectBoost DC-DC converter-
dc.subjectD-space-
dc.subjectMATLAB /simulink-
dc.subjectMaximum power point-
dc.subjectMaximum Power Point Tracking-
dc.subjectOnline programs-
dc.subjectPerturb and observe-
dc.subjectPhotovoltaic-
dc.subjectPhotovoltaic applications-
dc.subjectPhotovoltaic panels-
dc.subjectPower profile-
dc.subjectProportional-integral-
dc.subjectSolar arrays-
dc.subjectUser friendly interface-
dc.subjectVoltage ripples-
dc.subjectDC-DC converters-
dc.subjectDynamic response-
dc.subjectAlgorithms-
dc.titleEvaluation of the main MPPT techniques for photovoltaic applicationsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)-
dc.description.affiliationPower Electronics Laboratory (LEP) São Paulo State University (UNESP), Ilha Solteira-SP 15385-000-
dc.description.affiliationFederal University of Mato Grosso Do sul (UFMS) Cidade Universitária, Campo Grande 79004-970-
dc.description.affiliationUnespPower Electronics Laboratory (LEP) São Paulo State University (UNESP), Ilha Solteira-SP 15385-000-
dc.identifier.doi10.1109/TIE.2012.2198036-
dc.identifier.wosWOS:000310329300032-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofIEEE Transactions on Industrial Electronics-
dc.identifier.scopus2-s2.0-84868143067-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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