Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation

We study the effects of a high share of wind generation on the frequency fluctuations of power grids on islands. We propose a dynamical model that includes conventional and variable renewable generation, as well as demand variations. Our model can assimilate load and generation data and reproduce fr...

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Detalles Bibliográficos
Autores: Martínez Barbeito, María, Gomila, Damià, Colet, Pere
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/340301
Acceso en línea:http://hdl.handle.net/10261/340301
https://api.elsevier.com/content/abstract/scopus_id/85147301368
Access Level:acceso abierto
Palabra clave:Wind variability
Dynamical modelling
Frequency control
Frequency fluctuations
High renewable penetration
Power grid
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spelling Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind GenerationMartínez Barbeito, MaríaGomila, DamiàColet, PereWind variabilityDynamical modellingFrequency controlFrequency fluctuationsHigh renewable penetrationPower gridWe study the effects of a high share of wind generation on the frequency fluctuations of power grids on islands. We propose a dynamical model that includes conventional and variable renewable generation, as well as demand variations. Our model can assimilate load and generation data and reproduce frequency fluctuations with the current power mix with a high degree of accuracy, and it allows to simulate the frequency dynamics for different scenarios with a very high penetration of renewable energy. As a case study, we analyze the power grid of Gran Canaria island. We characterize the frequency fluctuations and propose a method to estimate the control needed to keep frequency deviations within reasonable limits.This work was supported in part by the European Commission Innovation and Networks Executive Agency through the integrated action Virtual Power Plants for Islands, VPP4ISLANDS under Grant 957852, in part by MCIN/AEI/10.13039/501100011033/ and EU through FEDER funds under Grants PACSS RTI2018-093732-B-C22 and APASOS PID2021-122256NB-C22, and in part by MCIN/AEI/10.13039/501100011033/ through Maria de Maeztu program under Grant MDM-2017-0711.Peer reviewedInstitute of Electrical and Electronics EngineersMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)European CommissionMartínez Barbeito, María [0000-0003-0887-9374]Gomila, Damià [0000-0002-3500-3434]Colet, Pere [0000-0002-5992-6292]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/340301https://api.elsevier.com/content/abstract/scopus_id/85147301368reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093732-B-C22info:eu-repo/grantAgreement/AEI//PID2021-122256NB-C22info:eu-repo/grantAgreement/AEI//MDM-2017-0711The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1109/TSTE.2022.3231975https://doi.org/10.1109/TSTE.2022.3231975Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3403012026-05-22T06:33:51Z
dc.title.none.fl_str_mv Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation
title Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation
spellingShingle Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation
Martínez Barbeito, María
Wind variability
Dynamical modelling
Frequency control
Frequency fluctuations
High renewable penetration
Power grid
title_short Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation
title_full Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation
title_fullStr Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation
title_full_unstemmed Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation
title_sort Dynamical Model for Power Grid Frequency Fluctuations: Application to Islands With High Penetration of Wind Generation
dc.creator.none.fl_str_mv Martínez Barbeito, María
Gomila, Damià
Colet, Pere
author Martínez Barbeito, María
author_facet Martínez Barbeito, María
Gomila, Damià
Colet, Pere
author_role author
author2 Gomila, Damià
Colet, Pere
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
European Commission
Martínez Barbeito, María [0000-0003-0887-9374]
Gomila, Damià [0000-0002-3500-3434]
Colet, Pere [0000-0002-5992-6292]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Wind variability
Dynamical modelling
Frequency control
Frequency fluctuations
High renewable penetration
Power grid
topic Wind variability
Dynamical modelling
Frequency control
Frequency fluctuations
High renewable penetration
Power grid
description We study the effects of a high share of wind generation on the frequency fluctuations of power grids on islands. We propose a dynamical model that includes conventional and variable renewable generation, as well as demand variations. Our model can assimilate load and generation data and reproduce frequency fluctuations with the current power mix with a high degree of accuracy, and it allows to simulate the frequency dynamics for different scenarios with a very high penetration of renewable energy. As a case study, we analyze the power grid of Gran Canaria island. We characterize the frequency fluctuations and propose a method to estimate the control needed to keep frequency deviations within reasonable limits.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/340301
https://api.elsevier.com/content/abstract/scopus_id/85147301368
url http://hdl.handle.net/10261/340301
https://api.elsevier.com/content/abstract/scopus_id/85147301368
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093732-B-C22
info:eu-repo/grantAgreement/AEI//PID2021-122256NB-C22
info:eu-repo/grantAgreement/AEI//MDM-2017-0711
The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1109/TSTE.2022.3231975
https://doi.org/10.1109/TSTE.2022.3231975

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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repository.mail.fl_str_mv
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