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Development of a photovoltaic MPPT control based on neural network

2021Conference object Open access
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dc.contributor.authorAbderrahmane, Elhor
dc.contributor.authorAbdelfettah, Kerboua
dc.contributor.authorFouad, Boukli Hacen
dc.contributor.authorSoares, Orlando
dc.date.accessioned2023-02-08T14:46:45Z
dc.date.available2023-02-08T14:46:45Z
dc.date.issued2021
dc.description.abstractThe Maximum Power Point Tracking (MPPT) is an important factor to increase the efficiency of the solar photovoltaic (PV) system. This paper presents a solar PV system containing a solar PV array, a DC/DC boost converter and a load. Different MPPT algorithms have been established with their features. The conventional algorithms (Perturb and Observe, Incremental Conductance and Open Circuit Voltage) show a lot of drawbacks. The major issue is the tracking of the Maximum Power Point (MPP) when environmental conditions change faster. So, a MPPT technique based on Neural Network (NN) was developed and which can enhance the efficiency and gathers the advantages of a lot of techniques. A multi layer neural network with back-propagation algorithm is used in order to have a small Mean Squared Error (MSE). The inputs of NN are irradiance, temperature and the output is the duty cycle that controls the boost converter. Finally, it is discussed the results and made comparison in terms of performance of the different algorithms, covering the overshoot, time response, oscillation and stability.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAbderrahmane, Elhor; Abdelfettah, Kerboua; Fouad, Boukli Hacen; Soares, Orlando (2021). Development of a photovoltaic MPPT control based on neural network. In 2021 Innovations in Energy Management and Renewable Resources, IEMRE 2021. Kolkatapt_PT
dc.identifier.doi10.1109/IEMRE52042.2021.9386910pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/26827
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMaximum power point tracking algorithmspt_PT
dc.subjectNeural networkpt_PT
dc.subjectC/DC boost converterpt_PT
dc.subjectSolar PV systempt_PT
dc.titleDevelopment of a photovoltaic MPPT control based on neural networkpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceKolkatapt_PT
oaire.citation.title2021 Innovations in Energy Management and Renewable Resources, IEMRE 2021pt_PT
person.familyNameSoares
person.givenNameOrlando
person.identifier.ciencia-id6B1D-E906-C118
person.identifier.orcid0000-0002-7731-5102
person.identifier.ridO-4067-2015
person.identifier.scopus-author-id56370132600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication615c6198-e821-41f9-86d2-a96fd64888fa
relation.isAuthorOfPublication.latestForDiscovery615c6198-e821-41f9-86d2-a96fd64888fa

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