Hierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks

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Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.creatorBanol Arias, Nataly-
Autor(es): dc.creatorSabillon, Carlos-
Autor(es): dc.creatorFranco, John Fredy-
Autor(es): dc.creatorQuiros-Tortos, Jairo-
Autor(es): dc.creatorRider, Marcos J.-
Data de aceite: dc.date.accessioned2025-08-21T21:04:50Z-
Data de disponibilização: dc.date.available2025-08-21T21:04:50Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/JSYST.2022.3188220-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/241687-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/241687-
Descrição: dc.descriptionThe 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.-
Descrição: dc.descriptionFaculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, Overjissel, Netherlands-
Descrição: dc.descriptionLOYOLATECH Institute, Universidad Loyola Andalucia, Sevilla, Spain-
Descrição: dc.descriptionDepartment of Electrical Engineering, São Paulo State University, Ilha Solteira, Brazil-
Descrição: dc.descriptionSchool of Electrical Engineering, Universidad de Costa Rica, San Pedro, Costa Rica-
Descrição: dc.descriptionDepartment of Systems and Energy, School of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo, Brazil-
Idioma: dc.languageen-
Relação: dc.relationIEEE Systems Journal-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCosts-
Palavras-chave: dc.subjectDelays-
Palavras-chave: dc.subjectDistribution systems-
Palavras-chave: dc.subjectdynamic scheduling-
Palavras-chave: dc.subjectElectric vehicle charging-
Palavras-chave: dc.subjectelectric vehicles (EVs)-
Palavras-chave: dc.subjecthierarchical optimization-
Palavras-chave: dc.subjectIndexes-
Palavras-chave: dc.subjectmathematical models-
Palavras-chave: dc.subjectMathematical models-
Palavras-chave: dc.subjectOptimization-
Palavras-chave: dc.subjectState of charge-
Palavras-chave: dc.subjectuser satisfaction-
Título: dc.titleHierarchical Optimization for User-Satisfaction-Driven Electric Vehicles Charging Coordination in Integrated MV/LV Networks-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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