Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion

Autores
Carugati, Ignacio; Orallo, Carlos Martin; Strack, Jorge Luis; Donato, Patricio Gabriel; Funes, Marcos Alan
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The identification, analysis and mitigation of voltage events are relevant research areas in the context of smart grids. The analysis can be conducted by using predefined models that are representative of certain grid faults. One of the criteria that represents the largest number of fault types is the extended ABC, which is used as the basis of this paper. Some of the algorithms proposed in the specific bibliography that use this classification criterion have an acceptable performance under ideal conditions, but are affected by different disturbances related to the same fault or the power grid itself. Present work proposes a new algorithm that improves the classification performance evaluating the mean squared error of each event type using two different symmetrical components estimations. The algorithm is compared with different proposals reported on the bibliography and evaluated with several types of common electrical network disturbances by simulation. Results show a significant reduction of classification errors.
Fil: Carugati, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina
Fil: Orallo, Carlos Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina
Fil: Strack, Jorge Luis. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Donato, Patricio Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina
Fil: Funes, Marcos Alan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina
Materia
DISTURBANCES
EVENT CLASSIFICATION
POWER QUALITY METER
VOLTAGE DIP
VOLTAGE SWELL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/236192
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/236192
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification CriterionCarugati, IgnacioOrallo, Carlos MartinStrack, Jorge LuisDonato, Patricio GabrielFunes, Marcos AlanDISTURBANCESEVENT CLASSIFICATIONPOWER QUALITY METERVOLTAGE DIPVOLTAGE SWELLhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The identification, analysis and mitigation of voltage events are relevant research areas in the context of smart grids. The analysis can be conducted by using predefined models that are representative of certain grid faults. One of the criteria that represents the largest number of fault types is the extended ABC, which is used as the basis of this paper. Some of the algorithms proposed in the specific bibliography that use this classification criterion have an acceptable performance under ideal conditions, but are affected by different disturbances related to the same fault or the power grid itself. Present work proposes a new algorithm that improves the classification performance evaluating the mean squared error of each event type using two different symmetrical components estimations. The algorithm is compared with different proposals reported on the bibliography and evaluated with several types of common electrical network disturbances by simulation. Results show a significant reduction of classification errors.Fil: Carugati, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; ArgentinaFil: Orallo, Carlos Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; ArgentinaFil: Strack, Jorge Luis. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Donato, Patricio Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; ArgentinaFil: Funes, Marcos Alan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; ArgentinaPraise Worthy Prize2023-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/236192Carugati, Ignacio; Orallo, Carlos Martin; Strack, Jorge Luis; Donato, Patricio Gabriel; Funes, Marcos Alan; Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion; Praise Worthy Prize; International Review Of Electrical Engineering-iree; 18; 3; 5-2023; 210-2191827-66602533-2244CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.praiseworthyprize.org/jsm/index.php?journal=iree&page=article&op=view&path%5B%5D=27576info:eu-repo/semantics/altIdentifier/doi/10.15866/iree.v18i3.23672info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:45:00Zoai:ri.conicet.gov.ar:11336/236192instacron: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:34982025-09-03 09:45:00.425CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion
title Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion
spellingShingle Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion
Carugati, Ignacio
DISTURBANCES
EVENT CLASSIFICATION
POWER QUALITY METER
VOLTAGE DIP
VOLTAGE SWELL
title_short Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion
title_full Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion
title_fullStr Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion
title_full_unstemmed Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion
title_sort Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion
dc.creator.none.fl_str_mv Carugati, Ignacio
Orallo, Carlos Martin
Strack, Jorge Luis
Donato, Patricio Gabriel
Funes, Marcos Alan
author Carugati, Ignacio
author_facet Carugati, Ignacio
Orallo, Carlos Martin
Strack, Jorge Luis
Donato, Patricio Gabriel
Funes, Marcos Alan
author_role author
author2 Orallo, Carlos Martin
Strack, Jorge Luis
Donato, Patricio Gabriel
Funes, Marcos Alan
author2_role author
author
author
author
dc.subject.none.fl_str_mv DISTURBANCES
EVENT CLASSIFICATION
POWER QUALITY METER
VOLTAGE DIP
VOLTAGE SWELL
topic DISTURBANCES
EVENT CLASSIFICATION
POWER QUALITY METER
VOLTAGE DIP
VOLTAGE SWELL
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The identification, analysis and mitigation of voltage events are relevant research areas in the context of smart grids. The analysis can be conducted by using predefined models that are representative of certain grid faults. One of the criteria that represents the largest number of fault types is the extended ABC, which is used as the basis of this paper. Some of the algorithms proposed in the specific bibliography that use this classification criterion have an acceptable performance under ideal conditions, but are affected by different disturbances related to the same fault or the power grid itself. Present work proposes a new algorithm that improves the classification performance evaluating the mean squared error of each event type using two different symmetrical components estimations. The algorithm is compared with different proposals reported on the bibliography and evaluated with several types of common electrical network disturbances by simulation. Results show a significant reduction of classification errors.
Fil: Carugati, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina
Fil: Orallo, Carlos Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina
Fil: Strack, Jorge Luis. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Donato, Patricio Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina
Fil: Funes, Marcos Alan. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones Científicas y Tecnológicas en Electrónica; Argentina
description The identification, analysis and mitigation of voltage events are relevant research areas in the context of smart grids. The analysis can be conducted by using predefined models that are representative of certain grid faults. One of the criteria that represents the largest number of fault types is the extended ABC, which is used as the basis of this paper. Some of the algorithms proposed in the specific bibliography that use this classification criterion have an acceptable performance under ideal conditions, but are affected by different disturbances related to the same fault or the power grid itself. Present work proposes a new algorithm that improves the classification performance evaluating the mean squared error of each event type using two different symmetrical components estimations. The algorithm is compared with different proposals reported on the bibliography and evaluated with several types of common electrical network disturbances by simulation. Results show a significant reduction of classification errors.
publishDate 2023
dc.date.none.fl_str_mv 2023-05
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/11336/236192
Carugati, Ignacio; Orallo, Carlos Martin; Strack, Jorge Luis; Donato, Patricio Gabriel; Funes, Marcos Alan; Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion; Praise Worthy Prize; International Review Of Electrical Engineering-iree; 18; 3; 5-2023; 210-219
1827-6660
2533-2244
CONICET Digital
CONICET
url http://hdl.handle.net/11336/236192
identifier_str_mv Carugati, Ignacio; Orallo, Carlos Martin; Strack, Jorge Luis; Donato, Patricio Gabriel; Funes, Marcos Alan; Voltage Event Classification Method Based on Symmetrical Components Models for Extended ABC Classification Criterion; Praise Worthy Prize; International Review Of Electrical Engineering-iree; 18; 3; 5-2023; 210-219
1827-6660
2533-2244
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://www.praiseworthyprize.org/jsm/index.php?journal=iree&page=article&op=view&path%5B%5D=27576
info:eu-repo/semantics/altIdentifier/doi/10.15866/iree.v18i3.23672
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Praise Worthy Prize
publisher.none.fl_str_mv Praise Worthy Prize
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
_version_ 1842268702617108480
score 13.13397

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