Integrated Planning of Active Distribution Systems and Charging Stations for Plug-in Electric Vehicles Considering the Vehicular Traffic Network

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorEscuela Técnica Superior de Ingeniería Industrial-
Autor(es): dc.creatorMejia, Mario A.-
Autor(es): dc.creatorFranco, John F.-
Autor(es): dc.creatorMacedo, Leonardo H.-
Autor(es): dc.creatorMuñoz-Delgado, Gregorio-
Autor(es): dc.creatorContreras, Javier-
Data de aceite: dc.date.accessioned2025-08-21T21:42:50Z-
Data de disponibilização: dc.date.available2025-08-21T21:42:50Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/EEEIC/ICPSEurope57605.2023.10194831-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/299259-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/299259-
Descrição: dc.descriptionTo ensure the system's operation is not compro-mised by the high electrical energy demand of charging plug-in electric vehicles (PEVs), the distribution system and the electric vehicle charging stations (EVCS) must be designed simultane-ously. Furthermore, as easy access to EVCS is critical for wide-spread PEV adoption, the vehicular traffic network plays an es-sential role in the location planning of such infrastructures. This paper proposes a novel framework for planning distribution systems and EVCS considering the vehicular traffic network. The planning process consists of two stages. In the first stage, a mul-ticriteria spatial analysis algorithm is employed to identify candidate nodes for EVCS installation, using spatial data on both the distribution system and the vehicular traffic network, as well as a variety of preference criteria and land use restrictions. In the second stage, a mathematical optimization model is used to determine the best location for EVCS installation based on the results of the first stage and the physical and operational characteristics of the distribution system. The investment plan for network assets in the distribution system, which are needed to support the new load, is also determined by this model. The per-formance of the proposed approach is assessed using geospatial data from a medium-sized Brazilian city.-
Descrição: dc.descriptionSão Paulo State University Department of Electrical Engineering, Solteira-
Descrição: dc.descriptionSão Paulo State University Department of Engineering-
Descrição: dc.descriptionUniversidad de Castilla-La Mancha Escuela Técnica Superior de Ingeniería Industrial-
Descrição: dc.descriptionSão Paulo State University Department of Electrical Engineering, Solteira-
Descrição: dc.descriptionSão Paulo State University Department of Engineering-
Idioma: dc.languageen-
Relação: dc.relationProceedings - 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectActive distribution system planning-
Palavras-chave: dc.subjectelectric vehicle charging stations-
Palavras-chave: dc.subjectgeographic information system-
Palavras-chave: dc.subjectmixed-in-teger linear programming-
Palavras-chave: dc.subjectmulticriteria spatial analysis-
Título: dc.titleIntegrated Planning of Active Distribution Systems and Charging Stations for Plug-in Electric Vehicles Considering the Vehicular Traffic Network-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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