Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm

This paper proposes an auto-tuning control system to ensure a fast response of the photovoltaic (PV) voltage by reducing the perturbation time of a P and O algorithm. This solution accelerates the tracking of the maximum power point and, at the same time, guarantees the system stability, which incre...

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Autores:
Ortiz Valencia, Paula Andrea
Ramos Paja, Carlos Andrés
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67656
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67656
http://bdigital.unal.edu.co/68685/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Adaptive control
photovoltaic system
sliding mode
perturb and observe
maximum power point tracking.
Control adaptativo
sistema fotovoltaico
modo deslizante
perturbar y observar
seguimiento del punto de máxima.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_f97e388ea0b8a0193a54b895cc525ccd
oai_identifier_str oai:repositorio.unal.edu.co:unal/67656
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm
title Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm
spellingShingle Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm
62 Ingeniería y operaciones afines / Engineering
Adaptive control
photovoltaic system
sliding mode
perturb and observe
maximum power point tracking.
Control adaptativo
sistema fotovoltaico
modo deslizante
perturbar y observar
seguimiento del punto de máxima.
title_short Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm
title_full Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm
title_fullStr Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm
title_full_unstemmed Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm
title_sort Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm
dc.creator.fl_str_mv Ortiz Valencia, Paula Andrea
Ramos Paja, Carlos Andrés
dc.contributor.author.spa.fl_str_mv Ortiz Valencia, Paula Andrea
Ramos Paja, Carlos Andrés
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Adaptive control
photovoltaic system
sliding mode
perturb and observe
maximum power point tracking.
Control adaptativo
sistema fotovoltaico
modo deslizante
perturbar y observar
seguimiento del punto de máxima.
dc.subject.proposal.spa.fl_str_mv Adaptive control
photovoltaic system
sliding mode
perturb and observe
maximum power point tracking.
Control adaptativo
sistema fotovoltaico
modo deslizante
perturbar y observar
seguimiento del punto de máxima.
description This paper proposes an auto-tuning control system to ensure a fast response of the photovoltaic (PV) voltage by reducing the perturbation time of a P and O algorithm. This solution accelerates the tracking of the maximum power point and, at the same time, guarantees the system stability, which increases the amount of energy produced by the PV system. The control system consists of three cascaded controllers: a P and O algorithm dynamically parameterized by the adaptive law in order to guarantee stability; an adaptive PI controller whose parameters are modified by the adaptive law, depending on the operating conditions, to reduce the settling time of the system as much as possible; and a sliding mode current controller to mitigate environmental and load perturbations and ensure global stability. The design of the new control structure is supported by mathematical analyses and validated with simulations performed in PSIM in order to demonstrate the robustness of the proposed solution.
publishDate 2015
dc.date.issued.spa.fl_str_mv 2015-06-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T04:47:02Z
dc.date.available.spa.fl_str_mv 2019-07-03T04:47:02Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.issn.spa.fl_str_mv ISSN: 2248-8723
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/67656
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/68685/
identifier_str_mv ISSN: 2248-8723
url https://repositorio.unal.edu.co/handle/unal/67656
http://bdigital.unal.edu.co/68685/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/ingeinv/article/view/53581
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.references.spa.fl_str_mv Ortiz Valencia, Paula Andrea and Ramos Paja, Carlos Andrés (2015) Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm. Ingeniería e Investigación, 35 (1Sup). pp. 5-12. ISSN 2248-8723
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/67656/1/53581-266723-4-PB.pdf
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ortiz Valencia, Paula Andrea62de55e4-83b7-437e-89fc-d6d762f6d5ab300Ramos Paja, Carlos Andrésa507a78b-b073-4a3e-89eb-bfeb7b5e6b5b3002019-07-03T04:47:02Z2019-07-03T04:47:02Z2015-06-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67656http://bdigital.unal.edu.co/68685/This paper proposes an auto-tuning control system to ensure a fast response of the photovoltaic (PV) voltage by reducing the perturbation time of a P and O algorithm. This solution accelerates the tracking of the maximum power point and, at the same time, guarantees the system stability, which increases the amount of energy produced by the PV system. The control system consists of three cascaded controllers: a P and O algorithm dynamically parameterized by the adaptive law in order to guarantee stability; an adaptive PI controller whose parameters are modified by the adaptive law, depending on the operating conditions, to reduce the settling time of the system as much as possible; and a sliding mode current controller to mitigate environmental and load perturbations and ensure global stability. The design of the new control structure is supported by mathematical analyses and validated with simulations performed in PSIM in order to demonstrate the robustness of the proposed solution.En este trabajo se propone un sistema de control auto-ajustable para garantizar una respuesta rápida del sistema fotovoltaico (PV) mediante la reducción del tiempo de perturbación del algoritmo P and O. Con esta solución se logra acelerar el seguimiento del punto de máxima potencia y al mismo tiempo garantizar la estabilidad del sistema, incrementando de esta manera la cantidad de energía producida. La ley de control está compuesta por tres controladores en cascada: Un algoritmo P and O parametrizado dinámicamente; un control adaptativo PI, cuyos parámetros son modificados por la ley de adaptación dependiendo de las condiciones de operación para reducir el tiempo de establecimiento tanto como sea posible; y un controlador en modos deslizantes de corriente que mitiga las perturbaciones ambientales y de la carga para garantizar la estabilidad global. El diseño de la nueva estructura de control se soporta con análisis matemáticos y se valida con simulaciones realizadas en PSIM que demuestran la robustez de la solución.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/53581Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónOrtiz Valencia, Paula Andrea and Ramos Paja, Carlos Andrés (2015) Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithm. Ingeniería e Investigación, 35 (1Sup). pp. 5-12. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringAdaptive controlphotovoltaic systemsliding modeperturb and observemaximum power point tracking.Control adaptativosistema fotovoltaicomodo deslizanteperturbar y observarseguimiento del punto de máxima.Auto-tuning of PV controllers to improve the speed response and stability of the P and O algorithmArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL53581-266723-4-PB.pdfapplication/pdf1680956https://repositorio.unal.edu.co/bitstream/unal/67656/1/53581-266723-4-PB.pdf486d04a9c8c47e754f5a17bb2ecd2546MD51THUMBNAIL53581-266723-4-PB.pdf.jpg53581-266723-4-PB.pdf.jpgGenerated Thumbnailimage/jpeg8806https://repositorio.unal.edu.co/bitstream/unal/67656/2/53581-266723-4-PB.pdf.jpgfbd7789394837f3ecaa3a0140ea3c64fMD52unal/67656oai:repositorio.unal.edu.co:unal/676562023-05-31 23:03:01.069Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co