Improvement of the Distribution Systems Resilience via Operational Resources and Demand Response
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1799964506872348672 |