Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response

Detalhes bibliográficos
Autor(a) principal: Home-Ortiz, Juan M.
Data de Publicação: 2022
Outros Autores: Melgar-Dominguez, Ozy D., Javadi, Mohammad S., Mantovani, Jose Roberto Sanches, Catalao, Joao P. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TIA.2022.3190241
http://hdl.handle.net/11449/240465
Resumo: This work presents a restoration approach for improving the resilience of electric distribution systems (EDSs) by taking advantage of several operational resources. In the proposed approach, the restoration process combines dynamic network reconfiguration, islanding operation of dispatchable distributed generation (DG) units, and the pre-positioning and displacement of mobile emergency generation (MEG) units. The benefit of exploring a demand response (DR) program to improve the recoverability of the system is also taken into account. The proposed approach aims to separate the in-service and out-of-service parts of the system while maintaining the radiality of the grid. To assist the distribution system planner, the problem is formulated as a stochastic scenario-based mixed-integer linear programming model, where uncertainties associated with PV-based generation and demand are captured. The objective function of the problem minimizes the amount of energy load shedding after a fault event, as well as PV-based generating curtailment. To validate the proposed approach, adapted 33-bus and 83-bus EDSs are analyzed under different test conditions. Numerical results demonstrate the benefits of coordinating the dynamic network reconfiguration, the pre-positioning and displacement of MEG units, and a DR program to improve the restoration process.
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spelling Improvement of the Distribution Systems Resilience via Operational Resources and Demand ResponseDemand responsedynamic reconfigurationFacesIndexesislanding DG operationMicrogridsmobile emergency generatorsresilienceResiliencerestorationUncertaintyVoltageThis work presents a restoration approach for improving the resilience of electric distribution systems (EDSs) by taking advantage of several operational resources. In the proposed approach, the restoration process combines dynamic network reconfiguration, islanding operation of dispatchable distributed generation (DG) units, and the pre-positioning and displacement of mobile emergency generation (MEG) units. The benefit of exploring a demand response (DR) program to improve the recoverability of the system is also taken into account. The proposed approach aims to separate the in-service and out-of-service parts of the system while maintaining the radiality of the grid. To assist the distribution system planner, the problem is formulated as a stochastic scenario-based mixed-integer linear programming model, where uncertainties associated with PV-based generation and demand are captured. The objective function of the problem minimizes the amount of energy load shedding after a fault event, as well as PV-based generating curtailment. To validate the proposed approach, adapted 33-bus and 83-bus EDSs are analyzed under different test conditions. Numerical results demonstrate the benefits of coordinating the dynamic network reconfiguration, the pre-positioning and displacement of MEG units, and a DR program to improve the restoration process.Department of Electrical Engineering, São Paulo State University (UNESP), São Paulo, BrazilINESC TEC, Porto, PortugalFaculty of Engineering, University of Porto and INESC TEC, Porto, PortugalUniversidade Estadual Paulista (UNESP)Home-Ortiz, Juan M.Melgar-Dominguez, Ozy D.Javadi, Mohammad S.Mantovani, Jose Roberto SanchesCatalao, Joao P. S.2023-03-01T20:18:21Z2023-03-01T20:18:21Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TIA.2022.3190241IEEE Transactions on Industry Applications.1939-93670093-9994http://hdl.handle.net/11449/24046510.1109/TIA.2022.31902412-s2.0-85134196645Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Industry Applicationsinfo:eu-repo/semantics/openAccess2023-03-01T20:18:21Zoai:repositorio.unesp.br:11449/240465Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T20:18:21Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
title Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
spellingShingle Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
Home-Ortiz, Juan M.
Demand response
dynamic reconfiguration
Faces
Indexes
islanding DG operation
Microgrids
mobile emergency generators
resilience
Resilience
restoration
Uncertainty
Voltage
title_short Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
title_full Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
title_fullStr Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
title_full_unstemmed Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
title_sort Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
author Home-Ortiz, Juan M.
author_facet Home-Ortiz, Juan M.
Melgar-Dominguez, Ozy D.
Javadi, Mohammad S.
Mantovani, Jose Roberto Sanches
Catalao, Joao P. S.
author_role author
author2 Melgar-Dominguez, Ozy D.
Javadi, Mohammad S.
Mantovani, Jose Roberto Sanches
Catalao, Joao P. S.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Home-Ortiz, Juan M.
Melgar-Dominguez, Ozy D.
Javadi, Mohammad S.
Mantovani, Jose Roberto Sanches
Catalao, Joao P. S.
dc.subject.por.fl_str_mv Demand response
dynamic reconfiguration
Faces
Indexes
islanding DG operation
Microgrids
mobile emergency generators
resilience
Resilience
restoration
Uncertainty
Voltage
topic Demand response
dynamic reconfiguration
Faces
Indexes
islanding DG operation
Microgrids
mobile emergency generators
resilience
Resilience
restoration
Uncertainty
Voltage
description This work presents a restoration approach for improving the resilience of electric distribution systems (EDSs) by taking advantage of several operational resources. In the proposed approach, the restoration process combines dynamic network reconfiguration, islanding operation of dispatchable distributed generation (DG) units, and the pre-positioning and displacement of mobile emergency generation (MEG) units. The benefit of exploring a demand response (DR) program to improve the recoverability of the system is also taken into account. The proposed approach aims to separate the in-service and out-of-service parts of the system while maintaining the radiality of the grid. To assist the distribution system planner, the problem is formulated as a stochastic scenario-based mixed-integer linear programming model, where uncertainties associated with PV-based generation and demand are captured. The objective function of the problem minimizes the amount of energy load shedding after a fault event, as well as PV-based generating curtailment. To validate the proposed approach, adapted 33-bus and 83-bus EDSs are analyzed under different test conditions. Numerical results demonstrate the benefits of coordinating the dynamic network reconfiguration, the pre-positioning and displacement of MEG units, and a DR program to improve the restoration process.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-03-01T20:18:21Z
2023-03-01T20:18:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TIA.2022.3190241
IEEE Transactions on Industry Applications.
1939-9367
0093-9994
http://hdl.handle.net/11449/240465
10.1109/TIA.2022.3190241
2-s2.0-85134196645
url http://dx.doi.org/10.1109/TIA.2022.3190241
http://hdl.handle.net/11449/240465
identifier_str_mv IEEE Transactions on Industry Applications.
1939-9367
0093-9994
10.1109/TIA.2022.3190241
2-s2.0-85134196645
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE Transactions on Industry Applications
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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