Artificial vision wireless PV system to efficiently track the MPP under partial shading

The solar photovoltaic industry is booming and the achievement of high efficiency in this kind of systems is crucial. Partial shading conditions complicate the search of the maximum power point (MPP) of the installations due to the existence of multiple peaks in the P-V curve. In addition, these pho...

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Detalles Bibliográficos
Autores: Delgado Martín, Aránzazu, Cano, Juan M., Medina García, Jonathan, Gómez Galán, Juan Antonio, Hermoso Fernández, Adoración, Rodríguez Vázquez, Jesús
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/23015
Acceso en línea:https://hdl.handle.net/10272/23015
Access Level:acceso abierto
Palabra clave:Artificial vision
IEEE 802.15.4 communication
Partial shading
PV Monitoring Systems
Wireless sensor network
33 Ciencias Tecnológicas
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spelling Artificial vision wireless PV system to efficiently track the MPP under partial shadingDelgado Martín, AránzazuCano, Juan M.Medina García, JonathanGómez Galán, Juan AntonioHermoso Fernández, AdoraciónRodríguez Vázquez, JesúsArtificial visionIEEE 802.15.4 communicationPartial shadingPV Monitoring SystemsWireless sensor network33 Ciencias TecnológicasThe solar photovoltaic industry is booming and the achievement of high efficiency in this kind of systems is crucial. Partial shading conditions complicate the search of the maximum power point (MPP) of the installations due to the existence of multiple peaks in the P-V curve. In addition, these photovoltaic (PV) systems require monitoring and control in real-time to guarantee the correct operation. Thus, this paper proposes a novel system to track the maximum power point through artificial vision, under partial shading conditions controlled and monitored by a wireless sensor network based on IEEE 802.15.4 technology. The infrastructure consists of a wireless distributed photovoltaic system (WDPS) where the power converter is connected to a sensor node that sends the information to the coordinator node. The coordinator node is connected to a webcam and a Raspberry Pi. This part of the system is called wireless webcam centralized control (WWCC) and is responsible for processing the sensors information and the images. Besides, the WWCC sends the control signal. The wireless communication is set in beacon-enabled mode allowing synchronization between the sensor nodes and the coordinator node. Moreover, the guaranteed time slot mechanism provides the correct transmission of data with low latency, ensuring the stability of the controller. Experimental tests have been carried out to validate the artificial vision wireless PV system. The results prove an appropriate operation, achieving an MPP tracking higher than 99%, even in partial shading conditions.Elsevier20232023-05-0120232023-05-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10272/23015reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelvainstname:Universidad de Huelva (UHU)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ariasmontano.uhu.es:10272/230152026-06-02T14:58:11Z
dc.title.none.fl_str_mv Artificial vision wireless PV system to efficiently track the MPP under partial shading
title Artificial vision wireless PV system to efficiently track the MPP under partial shading
spellingShingle Artificial vision wireless PV system to efficiently track the MPP under partial shading
Delgado Martín, Aránzazu
Artificial vision
IEEE 802.15.4 communication
Partial shading
PV Monitoring Systems
Wireless sensor network
33 Ciencias Tecnológicas
title_short Artificial vision wireless PV system to efficiently track the MPP under partial shading
title_full Artificial vision wireless PV system to efficiently track the MPP under partial shading
title_fullStr Artificial vision wireless PV system to efficiently track the MPP under partial shading
title_full_unstemmed Artificial vision wireless PV system to efficiently track the MPP under partial shading
title_sort Artificial vision wireless PV system to efficiently track the MPP under partial shading
dc.creator.none.fl_str_mv Delgado Martín, Aránzazu
Cano, Juan M.
Medina García, Jonathan
Gómez Galán, Juan Antonio
Hermoso Fernández, Adoración
Rodríguez Vázquez, Jesús
author Delgado Martín, Aránzazu
author_facet Delgado Martín, Aránzazu
Cano, Juan M.
Medina García, Jonathan
Gómez Galán, Juan Antonio
Hermoso Fernández, Adoración
Rodríguez Vázquez, Jesús
author_role author
author2 Cano, Juan M.
Medina García, Jonathan
Gómez Galán, Juan Antonio
Hermoso Fernández, Adoración
Rodríguez Vázquez, Jesús
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Artificial vision
IEEE 802.15.4 communication
Partial shading
PV Monitoring Systems
Wireless sensor network
33 Ciencias Tecnológicas
topic Artificial vision
IEEE 802.15.4 communication
Partial shading
PV Monitoring Systems
Wireless sensor network
33 Ciencias Tecnológicas
description The solar photovoltaic industry is booming and the achievement of high efficiency in this kind of systems is crucial. Partial shading conditions complicate the search of the maximum power point (MPP) of the installations due to the existence of multiple peaks in the P-V curve. In addition, these photovoltaic (PV) systems require monitoring and control in real-time to guarantee the correct operation. Thus, this paper proposes a novel system to track the maximum power point through artificial vision, under partial shading conditions controlled and monitored by a wireless sensor network based on IEEE 802.15.4 technology. The infrastructure consists of a wireless distributed photovoltaic system (WDPS) where the power converter is connected to a sensor node that sends the information to the coordinator node. The coordinator node is connected to a webcam and a Raspberry Pi. This part of the system is called wireless webcam centralized control (WWCC) and is responsible for processing the sensors information and the images. Besides, the WWCC sends the control signal. The wireless communication is set in beacon-enabled mode allowing synchronization between the sensor nodes and the coordinator node. Moreover, the guaranteed time slot mechanism provides the correct transmission of data with low latency, ensuring the stability of the controller. Experimental tests have been carried out to validate the artificial vision wireless PV system. The results prove an appropriate operation, achieving an MPP tracking higher than 99%, even in partial shading conditions.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-05-01
2023
2023-05-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10272/23015
url https://hdl.handle.net/10272/23015
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname:Universidad de Huelva (UHU)
instname_str Universidad de Huelva (UHU)
reponame_str Arias Montano. Repositorio Institucional de la Universidad de Huelva
collection Arias Montano. Repositorio Institucional de la Universidad de Huelva
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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