Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach

Autores
Campos-Delgado, Daniel; Pecina Sanchez, Jose Ángel; Espinoza Trejo, Diego Rivelino; Valdez-Fernandez, Andres A.; de Angelo, Cristian Hernan
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a fault detection and isolation (FDI) method for open-circuit faults (OCF) in the switching devices of a grid-connected neutral-point-clamped (NPC) inverter for photovoltaic (PV) applications. The proposed methodology addresses the fault diagnosis problem by a combined model-based and data processing perspectives in order to study single and simultaneous faults in the NPC inverter. For the model-based scheme, a bank of sliding-mode proportional-integral observers is suggested to estimate the fault profiles under an additive model. Thus, from the estimated fault profiles, and by performing a directional residual evaluation in a fixed reference frame, single and simultaneous fault scenarios can be isolated in the NPC inverter. However, for some fault classes, there is some ambiguity by just the model-based approach that is overcome by employing the average line currents to construct extra fault signatures. The proposed FDI scheme only requires the measurements of line currents and grid voltages in the diagnosis media, and can isolate 6 × 2 single OCFs and 12 × 4 simultaneous OCFs in the order or lower than a fundamental period of the grid frequency. Our new FDI methodology is validated through experimental data from a practical PV system in a closed-loop grid-connected NPC inverter under single and simultaneous OCF conditions.
Fil: Campos-Delgado, Daniel. Universidad Autónoma de San Luis Potosí; México
Fil: Pecina Sanchez, Jose Ángel. Universidad Autónoma de San Luis Potosí; México
Fil: Espinoza Trejo, Diego Rivelino. Universidad Autónoma de San Luis Potosí; México
Fil: Valdez-Fernandez, Andres A.. Universidad Autónoma de San Luis Potosí; México
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados; Argentina
Materia
FAULT DIAGNOSIS
GRID-CONNECTED PV
NPC INVERTER
DATA PROCESSING
MODEL BASED APPROACH
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/118606
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/118606
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approachCampos-Delgado, DanielPecina Sanchez, Jose ÁngelEspinoza Trejo, Diego RivelinoValdez-Fernandez, Andres A.de Angelo, Cristian HernanFAULT DIAGNOSISGRID-CONNECTED PVNPC INVERTERDATA PROCESSINGMODEL BASED APPROACHhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents a fault detection and isolation (FDI) method for open-circuit faults (OCF) in the switching devices of a grid-connected neutral-point-clamped (NPC) inverter for photovoltaic (PV) applications. The proposed methodology addresses the fault diagnosis problem by a combined model-based and data processing perspectives in order to study single and simultaneous faults in the NPC inverter. For the model-based scheme, a bank of sliding-mode proportional-integral observers is suggested to estimate the fault profiles under an additive model. Thus, from the estimated fault profiles, and by performing a directional residual evaluation in a fixed reference frame, single and simultaneous fault scenarios can be isolated in the NPC inverter. However, for some fault classes, there is some ambiguity by just the model-based approach that is overcome by employing the average line currents to construct extra fault signatures. The proposed FDI scheme only requires the measurements of line currents and grid voltages in the diagnosis media, and can isolate 6 × 2 single OCFs and 12 × 4 simultaneous OCFs in the order or lower than a fundamental period of the grid frequency. Our new FDI methodology is validated through experimental data from a practical PV system in a closed-loop grid-connected NPC inverter under single and simultaneous OCF conditions.Fil: Campos-Delgado, Daniel. Universidad Autónoma de San Luis Potosí; MéxicoFil: Pecina Sanchez, Jose Ángel. Universidad Autónoma de San Luis Potosí; MéxicoFil: Espinoza Trejo, Diego Rivelino. Universidad Autónoma de San Luis Potosí; MéxicoFil: Valdez-Fernandez, Andres A.. Universidad Autónoma de San Luis Potosí; MéxicoFil: de Angelo, Cristian Hernan. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados; ArgentinaIET2019-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/118606Campos-Delgado, Daniel; Pecina Sanchez, Jose Ángel; Espinoza Trejo, Diego Rivelino; Valdez-Fernandez, Andres A.; de Angelo, Cristian Hernan; Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach; IET; IET Power Electronics; 12; 12; 10-2019; 3254-32641755-45351755-4543CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://digital-library.theiet.org/content/journals/10.1049/iet-pel.2018.5237info:eu-repo/semantics/altIdentifier/doi/10.1049/iet-pel.2018.5237info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:56:29Zoai:ri.conicet.gov.ar:11336/118606instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:56:29.453CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach
title Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach
spellingShingle Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach
Campos-Delgado, Daniel
FAULT DIAGNOSIS
GRID-CONNECTED PV
NPC INVERTER
DATA PROCESSING
MODEL BASED APPROACH
title_short Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach
title_full Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach
title_fullStr Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach
title_full_unstemmed Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach
title_sort Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach
dc.creator.none.fl_str_mv Campos-Delgado, Daniel
Pecina Sanchez, Jose Ángel
Espinoza Trejo, Diego Rivelino
Valdez-Fernandez, Andres A.
de Angelo, Cristian Hernan
author Campos-Delgado, Daniel
author_facet Campos-Delgado, Daniel
Pecina Sanchez, Jose Ángel
Espinoza Trejo, Diego Rivelino
Valdez-Fernandez, Andres A.
de Angelo, Cristian Hernan
author_role author
author2 Pecina Sanchez, Jose Ángel
Espinoza Trejo, Diego Rivelino
Valdez-Fernandez, Andres A.
de Angelo, Cristian Hernan
author2_role author
author
author
author
dc.subject.none.fl_str_mv FAULT DIAGNOSIS
GRID-CONNECTED PV
NPC INVERTER
DATA PROCESSING
MODEL BASED APPROACH
topic FAULT DIAGNOSIS
GRID-CONNECTED PV
NPC INVERTER
DATA PROCESSING
MODEL BASED APPROACH
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents a fault detection and isolation (FDI) method for open-circuit faults (OCF) in the switching devices of a grid-connected neutral-point-clamped (NPC) inverter for photovoltaic (PV) applications. The proposed methodology addresses the fault diagnosis problem by a combined model-based and data processing perspectives in order to study single and simultaneous faults in the NPC inverter. For the model-based scheme, a bank of sliding-mode proportional-integral observers is suggested to estimate the fault profiles under an additive model. Thus, from the estimated fault profiles, and by performing a directional residual evaluation in a fixed reference frame, single and simultaneous fault scenarios can be isolated in the NPC inverter. However, for some fault classes, there is some ambiguity by just the model-based approach that is overcome by employing the average line currents to construct extra fault signatures. The proposed FDI scheme only requires the measurements of line currents and grid voltages in the diagnosis media, and can isolate 6 × 2 single OCFs and 12 × 4 simultaneous OCFs in the order or lower than a fundamental period of the grid frequency. Our new FDI methodology is validated through experimental data from a practical PV system in a closed-loop grid-connected NPC inverter under single and simultaneous OCF conditions.
Fil: Campos-Delgado, Daniel. Universidad Autónoma de San Luis Potosí; México
Fil: Pecina Sanchez, Jose Ángel. Universidad Autónoma de San Luis Potosí; México
Fil: Espinoza Trejo, Diego Rivelino. Universidad Autónoma de San Luis Potosí; México
Fil: Valdez-Fernandez, Andres A.. Universidad Autónoma de San Luis Potosí; México
Fil: de Angelo, Cristian Hernan. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas Fisicoquímicas y Naturales. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones en Tecnologías Energéticas y Materiales Avanzados; Argentina
description This paper presents a fault detection and isolation (FDI) method for open-circuit faults (OCF) in the switching devices of a grid-connected neutral-point-clamped (NPC) inverter for photovoltaic (PV) applications. The proposed methodology addresses the fault diagnosis problem by a combined model-based and data processing perspectives in order to study single and simultaneous faults in the NPC inverter. For the model-based scheme, a bank of sliding-mode proportional-integral observers is suggested to estimate the fault profiles under an additive model. Thus, from the estimated fault profiles, and by performing a directional residual evaluation in a fixed reference frame, single and simultaneous fault scenarios can be isolated in the NPC inverter. However, for some fault classes, there is some ambiguity by just the model-based approach that is overcome by employing the average line currents to construct extra fault signatures. The proposed FDI scheme only requires the measurements of line currents and grid voltages in the diagnosis media, and can isolate 6 × 2 single OCFs and 12 × 4 simultaneous OCFs in the order or lower than a fundamental period of the grid frequency. Our new FDI methodology is validated through experimental data from a practical PV system in a closed-loop grid-connected NPC inverter under single and simultaneous OCF conditions.
publishDate 2019
dc.date.none.fl_str_mv 2019-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/118606
Campos-Delgado, Daniel; Pecina Sanchez, Jose Ángel; Espinoza Trejo, Diego Rivelino; Valdez-Fernandez, Andres A.; de Angelo, Cristian Hernan; Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach; IET; IET Power Electronics; 12; 12; 10-2019; 3254-3264
1755-4535
1755-4543
CONICET Digital
CONICET
url http://hdl.handle.net/11336/118606
identifier_str_mv Campos-Delgado, Daniel; Pecina Sanchez, Jose Ángel; Espinoza Trejo, Diego Rivelino; Valdez-Fernandez, Andres A.; de Angelo, Cristian Hernan; Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach; IET; IET Power Electronics; 12; 12; 10-2019; 3254-3264
1755-4535
1755-4543
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://digital-library.theiet.org/content/journals/10.1049/iet-pel.2018.5237
info:eu-repo/semantics/altIdentifier/doi/10.1049/iet-pel.2018.5237
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IET
publisher.none.fl_str_mv IET
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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