Communication delay estimation for wind power plant controllers based on PMU measurements

Autores
Marchi, Pablo Gabriel; Gill Estevez, Pablo Daniel; Otero, Alejandro Daniel; Galarza, Cecilia Gabriela
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The communication control delay between the inverters and the power plant controller can be caused by several factors related to the communication link between them. Under undesirable conditions, high delay values can produce oscillations in the wind power plant that can affect the rest of the power system. In this work, we present a new robust methodology for wind turbines to estimate the value of the communication control delay using phasor measurement unit (PMU) data. Several scenarios are considered where external faults are simulated and the performance of the algorithm is evaluated based on dynamic state estimation of the mathematical model of the wind turbine. In this paper, we have shown that the characterization of the delay can be performed offering the transmission system operator an online tool to identify the most suited communication delay for the plant controller models used in dynamic studies.
Fil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Fil: Gill Estevez, Pablo Daniel. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Otero, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Fil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Materia
Unscented Kalman filter
Power system oscillations
Phasor measurement unit
Dynamic state estimation
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:11336/277923
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Communication delay estimation for wind power plant controllers based on PMU measurementsMarchi, Pablo GabrielGill Estevez, Pablo DanielOtero, Alejandro DanielGalarza, Cecilia GabrielaUnscented Kalman filterPower system oscillationsPhasor measurement unitDynamic state estimationhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The communication control delay between the inverters and the power plant controller can be caused by several factors related to the communication link between them. Under undesirable conditions, high delay values can produce oscillations in the wind power plant that can affect the rest of the power system. In this work, we present a new robust methodology for wind turbines to estimate the value of the communication control delay using phasor measurement unit (PMU) data. Several scenarios are considered where external faults are simulated and the performance of the algorithm is evaluated based on dynamic state estimation of the mathematical model of the wind turbine. In this paper, we have shown that the characterization of the delay can be performed offering the transmission system operator an online tool to identify the most suited communication delay for the plant controller models used in dynamic studies.Fil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Gill Estevez, Pablo Daniel. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Otero, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaElsevier2025-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/277923Marchi, Pablo Gabriel; Gill Estevez, Pablo Daniel; Otero, Alejandro Daniel; Galarza, Cecilia Gabriela; Communication delay estimation for wind power plant controllers based on PMU measurements; Elsevier; International Journal of Electrical Power & Energy Systems; 172; 111228; 11-2025; 1-120142-0615CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0142061525007768info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijepes.2025.111228info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T14:20:58Zoai:ri.conicet.gov.ar:11336/277923instacron: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:34982025-12-23 14:20:58.341CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Communication delay estimation for wind power plant controllers based on PMU measurements
title Communication delay estimation for wind power plant controllers based on PMU measurements
spellingShingle Communication delay estimation for wind power plant controllers based on PMU measurements
Marchi, Pablo Gabriel
Unscented Kalman filter
Power system oscillations
Phasor measurement unit
Dynamic state estimation
title_short Communication delay estimation for wind power plant controllers based on PMU measurements
title_full Communication delay estimation for wind power plant controllers based on PMU measurements
title_fullStr Communication delay estimation for wind power plant controllers based on PMU measurements
title_full_unstemmed Communication delay estimation for wind power plant controllers based on PMU measurements
title_sort Communication delay estimation for wind power plant controllers based on PMU measurements
dc.creator.none.fl_str_mv Marchi, Pablo Gabriel
Gill Estevez, Pablo Daniel
Otero, Alejandro Daniel
Galarza, Cecilia Gabriela
author Marchi, Pablo Gabriel
author_facet Marchi, Pablo Gabriel
Gill Estevez, Pablo Daniel
Otero, Alejandro Daniel
Galarza, Cecilia Gabriela
author_role author
author2 Gill Estevez, Pablo Daniel
Otero, Alejandro Daniel
Galarza, Cecilia Gabriela
author2_role author
author
author
dc.subject.none.fl_str_mv Unscented Kalman filter
Power system oscillations
Phasor measurement unit
Dynamic state estimation
topic Unscented Kalman filter
Power system oscillations
Phasor measurement unit
Dynamic state estimation
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 communication control delay between the inverters and the power plant controller can be caused by several factors related to the communication link between them. Under undesirable conditions, high delay values can produce oscillations in the wind power plant that can affect the rest of the power system. In this work, we present a new robust methodology for wind turbines to estimate the value of the communication control delay using phasor measurement unit (PMU) data. Several scenarios are considered where external faults are simulated and the performance of the algorithm is evaluated based on dynamic state estimation of the mathematical model of the wind turbine. In this paper, we have shown that the characterization of the delay can be performed offering the transmission system operator an online tool to identify the most suited communication delay for the plant controller models used in dynamic studies.
Fil: Marchi, Pablo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Fil: Gill Estevez, Pablo Daniel. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Otero, Alejandro Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Fil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
description The communication control delay between the inverters and the power plant controller can be caused by several factors related to the communication link between them. Under undesirable conditions, high delay values can produce oscillations in the wind power plant that can affect the rest of the power system. In this work, we present a new robust methodology for wind turbines to estimate the value of the communication control delay using phasor measurement unit (PMU) data. Several scenarios are considered where external faults are simulated and the performance of the algorithm is evaluated based on dynamic state estimation of the mathematical model of the wind turbine. In this paper, we have shown that the characterization of the delay can be performed offering the transmission system operator an online tool to identify the most suited communication delay for the plant controller models used in dynamic studies.
publishDate 2025
dc.date.none.fl_str_mv 2025-11
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/11336/277923
Marchi, Pablo Gabriel; Gill Estevez, Pablo Daniel; Otero, Alejandro Daniel; Galarza, Cecilia Gabriela; Communication delay estimation for wind power plant controllers based on PMU measurements; Elsevier; International Journal of Electrical Power & Energy Systems; 172; 111228; 11-2025; 1-12
0142-0615
CONICET Digital
CONICET
url http://hdl.handle.net/11336/277923
identifier_str_mv Marchi, Pablo Gabriel; Gill Estevez, Pablo Daniel; Otero, Alejandro Daniel; Galarza, Cecilia Gabriela; Communication delay estimation for wind power plant controllers based on PMU measurements; Elsevier; International Journal of Electrical Power & Energy Systems; 172; 111228; 11-2025; 1-12
0142-0615
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.sciencedirect.com/science/article/pii/S0142061525007768
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijepes.2025.111228
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
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 12.952241

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