Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks
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/JSYST.2022.3188220 http://hdl.handle.net/11449/241687 |
Resumo: | The growing uptake of electric vehicles (EVs) will likely require management schemes to enable their connection into distribution systems. While most of the existing approaches are developed from the operator's perspective considering EV aggregated demands at the medium-voltage (MV) level, individual users' comfort and the particularities associated with low-voltage (LV) networks need to be considered to holistically assess the EV effects in an integrated MV/LV network. This article proposes a two-level hierarchical optimization framework for the EV charging coordination (EVCC) that maximizes users' satisfaction, while avoiding operational grid issues in the whole distribution system. The framework is tailored for unbalanced distribution systems with high penetration of EVs and introduces a novel index to measure charging priority-based EV user satisfaction. To reduce the computational burden, the EVCC problem is disaggregated into an upper level for MV network operation, and a lower level for LV network and individual EV scheduling, using mixed-integer linear programming models. This framework is later embedded in a dynamic scheduling approach that copes with unexpected EV arrivals. Benefits (increased overall user satisfaction and reduced strain over distribution assets) are demonstrated via case studies in a 459-node three-phase network in which solutions were achieved under a 60-s threshold. |
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Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV NetworksCostsDelaysDistribution systemsdynamic schedulingElectric vehicle chargingelectric vehicles (EVs)hierarchical optimizationIndexesmathematical modelsMathematical modelsOptimizationState of chargeuser satisfactionThe growing uptake of electric vehicles (EVs) will likely require management schemes to enable their connection into distribution systems. While most of the existing approaches are developed from the operator's perspective considering EV aggregated demands at the medium-voltage (MV) level, individual users' comfort and the particularities associated with low-voltage (LV) networks need to be considered to holistically assess the EV effects in an integrated MV/LV network. This article proposes a two-level hierarchical optimization framework for the EV charging coordination (EVCC) that maximizes users' satisfaction, while avoiding operational grid issues in the whole distribution system. The framework is tailored for unbalanced distribution systems with high penetration of EVs and introduces a novel index to measure charging priority-based EV user satisfaction. To reduce the computational burden, the EVCC problem is disaggregated into an upper level for MV network operation, and a lower level for LV network and individual EV scheduling, using mixed-integer linear programming models. This framework is later embedded in a dynamic scheduling approach that copes with unexpected EV arrivals. Benefits (increased overall user satisfaction and reduced strain over distribution assets) are demonstrated via case studies in a 459-node three-phase network in which solutions were achieved under a 60-s threshold.Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, Overjissel, NetherlandsLOYOLATECH Institute, Universidad Loyola Andalucia, Sevilla, SpainDepartment of Electrical Engineering, São Paulo State University, Ilha Solteira, BrazilSchool of Electrical Engineering, Universidad de Costa Rica, San Pedro, Costa RicaDepartment of Systems and Energy, School of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo, BrazilUniversidade Estadual de Campinas (UNICAMP)Banol Arias, NatalySabillon, CarlosFranco, John FredyQuiros-Tortos, JairoRider, Marcos J.2023-03-01T21:16:49Z2023-03-01T21:16:49Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/JSYST.2022.3188220IEEE Systems Journal.1937-92341932-8184http://hdl.handle.net/11449/24168710.1109/JSYST.2022.31882202-s2.0-85135241527Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Systems Journalinfo:eu-repo/semantics/openAccess2023-03-01T21:16:49Zoai:repositorio.unesp.br:11449/241687Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T21:16:49Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks |
title |
Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks |
spellingShingle |
Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks Banol Arias, Nataly Costs Delays Distribution systems dynamic scheduling Electric vehicle charging electric vehicles (EVs) hierarchical optimization Indexes mathematical models Mathematical models Optimization State of charge user satisfaction |
title_short |
Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks |
title_full |
Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks |
title_fullStr |
Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks |
title_full_unstemmed |
Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks |
title_sort |
Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks |
author |
Banol Arias, Nataly |
author_facet |
Banol Arias, Nataly Sabillon, Carlos Franco, John Fredy Quiros-Tortos, Jairo Rider, Marcos J. |
author_role |
author |
author2 |
Sabillon, Carlos Franco, John Fredy Quiros-Tortos, Jairo Rider, Marcos J. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) |
dc.contributor.author.fl_str_mv |
Banol Arias, Nataly Sabillon, Carlos Franco, John Fredy Quiros-Tortos, Jairo Rider, Marcos J. |
dc.subject.por.fl_str_mv |
Costs Delays Distribution systems dynamic scheduling Electric vehicle charging electric vehicles (EVs) hierarchical optimization Indexes mathematical models Mathematical models Optimization State of charge user satisfaction |
topic |
Costs Delays Distribution systems dynamic scheduling Electric vehicle charging electric vehicles (EVs) hierarchical optimization Indexes mathematical models Mathematical models Optimization State of charge user satisfaction |
description |
The growing uptake of electric vehicles (EVs) will likely require management schemes to enable their connection into distribution systems. While most of the existing approaches are developed from the operator's perspective considering EV aggregated demands at the medium-voltage (MV) level, individual users' comfort and the particularities associated with low-voltage (LV) networks need to be considered to holistically assess the EV effects in an integrated MV/LV network. This article proposes a two-level hierarchical optimization framework for the EV charging coordination (EVCC) that maximizes users' satisfaction, while avoiding operational grid issues in the whole distribution system. The framework is tailored for unbalanced distribution systems with high penetration of EVs and introduces a novel index to measure charging priority-based EV user satisfaction. To reduce the computational burden, the EVCC problem is disaggregated into an upper level for MV network operation, and a lower level for LV network and individual EV scheduling, using mixed-integer linear programming models. This framework is later embedded in a dynamic scheduling approach that copes with unexpected EV arrivals. Benefits (increased overall user satisfaction and reduced strain over distribution assets) are demonstrated via case studies in a 459-node three-phase network in which solutions were achieved under a 60-s threshold. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T21:16:49Z 2023-03-01T21:16:49Z |
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/JSYST.2022.3188220 IEEE Systems Journal. 1937-9234 1932-8184 http://hdl.handle.net/11449/241687 10.1109/JSYST.2022.3188220 2-s2.0-85135241527 |
url |
http://dx.doi.org/10.1109/JSYST.2022.3188220 http://hdl.handle.net/11449/241687 |
identifier_str_mv |
IEEE Systems Journal. 1937-9234 1932-8184 10.1109/JSYST.2022.3188220 2-s2.0-85135241527 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Systems Journal |
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_ |
1803650064139157504 |