A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid

Microgrids are getting a growing role in the evolution of the traditional electricity system towards a more distributed grid. Nowadays, efforts are being put into the development of applications that ensure the availability and the correct functioning of microgrids. Microgrids Energy Management Syst...

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Autores: Márquez Quintero, J.J., Zafra Cabeza, Ascensión, Bordons Alba, Carlos, Ridao Carlini, Miguel Ángel
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/181197
Acceso en línea:https://hdl.handle.net/11441/181197
https://doi.org/10.1016/j.conengprac.2020.104695
Access Level:acceso abierto
Palabra clave:Microgrids
Model Predictive Control
Reconfiguration
Fault mitigation
Fault detection
Stochastic constraints
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spelling A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgridMárquez Quintero, J.J.Zafra Cabeza, AscensiónBordons Alba, CarlosRidao Carlini, Miguel ÁngelMicrogridsModel Predictive ControlReconfigurationFault mitigationFault detectionStochastic constraintsMicrogrids are getting a growing role in the evolution of the traditional electricity system towards a more distributed grid. Nowadays, efforts are being put into the development of applications that ensure the availability and the correct functioning of microgrids. Microgrids Energy Management Systems (EMS) must be able to manage faults and therefore, drive the system to a safe scenario. In this context, fault diagnosis, isolation and reconfiguration are main subjects to be dealt within microgrids. This paper presents a Model Predictive Control approach applied to energy management in microgrids from the point of view of fault mitigation. In order to detect faults online, the real behaviour and the model are compared in each sampling period through generated residuals. The thresholds used for the detection of faults are determined by the qualitative statistical decision theory. When true inconsistencies are detected, the information about faults occurrences is sent to a new reconfiguration block to recover the system executing mitigation actions. Experiments on a real laboratory-scaled microgrid have been carried out to show the benefits of the method. This work shows how the proposed scheme can be used as a tool which integrates a fault isolation and reconfiguration module taking into account disturbances, noise and modelling errors from a stochastic point of view.ElsevierIngeniería de Sistemas y AutomáticaMinisterio de Ciencia e Innovación (MICIN). España2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/181197https://doi.org/10.1016/j.conengprac.2020.104695reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésControl Engineering Practice, 107, 104695.PID2019-104149RB-I00https://www.sciencedirect.com/science/article/pii/S0967066120302653info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1811972026-06-17T12:51:07Z
dc.title.none.fl_str_mv A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid
title A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid
spellingShingle A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid
Márquez Quintero, J.J.
Microgrids
Model Predictive Control
Reconfiguration
Fault mitigation
Fault detection
Stochastic constraints
title_short A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid
title_full A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid
title_fullStr A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid
title_full_unstemmed A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid
title_sort A fault detection and reconfiguration approach for MPC-based energy management in an experimental microgrid
dc.creator.none.fl_str_mv Márquez Quintero, J.J.
Zafra Cabeza, Ascensión
Bordons Alba, Carlos
Ridao Carlini, Miguel Ángel
author Márquez Quintero, J.J.
author_facet Márquez Quintero, J.J.
Zafra Cabeza, Ascensión
Bordons Alba, Carlos
Ridao Carlini, Miguel Ángel
author_role author
author2 Zafra Cabeza, Ascensión
Bordons Alba, Carlos
Ridao Carlini, Miguel Ángel
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería de Sistemas y Automática
Ministerio de Ciencia e Innovación (MICIN). España
dc.subject.none.fl_str_mv Microgrids
Model Predictive Control
Reconfiguration
Fault mitigation
Fault detection
Stochastic constraints
topic Microgrids
Model Predictive Control
Reconfiguration
Fault mitigation
Fault detection
Stochastic constraints
description Microgrids are getting a growing role in the evolution of the traditional electricity system towards a more distributed grid. Nowadays, efforts are being put into the development of applications that ensure the availability and the correct functioning of microgrids. Microgrids Energy Management Systems (EMS) must be able to manage faults and therefore, drive the system to a safe scenario. In this context, fault diagnosis, isolation and reconfiguration are main subjects to be dealt within microgrids. This paper presents a Model Predictive Control approach applied to energy management in microgrids from the point of view of fault mitigation. In order to detect faults online, the real behaviour and the model are compared in each sampling period through generated residuals. The thresholds used for the detection of faults are determined by the qualitative statistical decision theory. When true inconsistencies are detected, the information about faults occurrences is sent to a new reconfiguration block to recover the system executing mitigation actions. Experiments on a real laboratory-scaled microgrid have been carried out to show the benefits of the method. This work shows how the proposed scheme can be used as a tool which integrates a fault isolation and reconfiguration module taking into account disturbances, noise and modelling errors from a stochastic point of view.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/181197
https://doi.org/10.1016/j.conengprac.2020.104695
url https://hdl.handle.net/11441/181197
https://doi.org/10.1016/j.conengprac.2020.104695
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Control Engineering Practice, 107, 104695.
PID2019-104149RB-I00
https://www.sciencedirect.com/science/article/pii/S0967066120302653
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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