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dc.contributor.authorRamos Hernanz, José Antonio
dc.contributor.authorLópez Guede, José Manuel ORCID
dc.contributor.authorBarambones Caramazana, Oscar ORCID
dc.contributor.authorZulueta Guerrero, Ekaitz
dc.contributor.authorFernández Gámiz, Unai
dc.date.accessioned2024-02-08T09:44:15Z
dc.date.available2024-02-08T09:44:15Z
dc.date.issued2017-07
dc.identifier.citationInternational Journal of Hydrogen Energy 42(28) : 17831-17855 (2017)
dc.identifier.issn0360-3199
dc.identifier.urihttp://hdl.handle.net/10810/65115
dc.description.abstractThe great advances in efficiency and performance of photovoltaic modules would not be very useful if they do not work close to their maximum power point (MPP). In this paper a novel Sliding Mode Control (SMC) based algorithm is proposed to be implemented in a DC/DC converter in order to make an autonomous photovoltaic system to work at the MPP. Once that the design of the novel algorithm has been detailed (especially the novel part relative to the current reference signal) and its stability has been demonstrated, its performance has been compared with two of the most commonly used algorithms in this scope, i.e., Perturbation & Observation (P&O) and Incremental Conductance (IC) algorithms, in addition to a PI controller because it is one of the preferred controllers in industrial applications. This comparison has been carried out taking into account both simulated and experimental tests. The first focused on their behavior when sudden changes in irradiance and temperature, while the lasts analyzed them when the load resistance was varying arbitrarily in actual facilities (composed of a photovoltaic module Mitsubishi PV-TD185MF5, a Boost converter, a variable load and a real-time data acquisition card dSPACE DSP1104 used as the interface between the control algorithm implemented in Simulink/Matlab and the real photovoltaic module). After completing tests under different conditions, we found that the proposed SMC based algorithm outperforms the PI controller and the P&O and IC algorithms, especially in experiments carried out using actual facilities.es_ES
dc.description.sponsorshipThe authors are very grateful to the UPV/EHU for its support through Projects GIU13/41 and UFI11/07. The authors are also grateful to European Union Ministry of Turkey, National Agency of Turkey for the support of this project under the Project Code: 2015-1-TR01-KA203-021342 entitled Innovative European Studies on Renewable Energy Systems.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectboost converteres_ES
dc.subjectIncremental conductancees_ES
dc.subjectmaximum power point trackinges_ES
dc.subjectperturbation & observationes_ES
dc.subjectPI controlleres_ES
dc.subjectsliding mode controles_ES
dc.titleNovel control algorithm for MPPT with Boost converters in photovoltaic systemses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. under CC BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)es_ES
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0360319917304457
dc.identifier.doi10.1016/j.ijhydene.2017.02.028
dc.departamentoesIngeniería Energéticaes_ES
dc.departamentoesIngeniería de sistemas y automática
dc.departamentoeuEnergia Ingenieritzaes_ES
dc.departamentoeuSistemen ingeniaritza eta automatika


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© 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. under CC BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Except where otherwise noted, this item's license is described as © 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. under CC BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)