Distribution System Planning Considering Non-Utility-Owned Electric Vehicle Charging Stations

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MetadadosDescriçãoIdioma
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.creatorMacEdo, Leonardo H.-
Autor(es): dc.creatorMunoz-Delgado, Gregorio-
Autor(es): dc.creatorContreras, Javier-
Autor(es): dc.creatorPadilha-Feltrin, Antonio-
Data de aceite: dc.date.accessioned2025-08-21T21:26:28Z-
Data de disponibilização: dc.date.available2025-08-21T21:26:28Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/SEST53650.2022.9898149-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/249312-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/249312-
Descrição: dc.descriptionThis article proposes a new mixed-integer linear programming formulation for the planning of active distribution networks and non-utility-owned electric vehicle charging stations (EVCSs). The approach uses multi-objective optimization to consider both the utility's and the EVCSs owner's economic interests. In this context, the utility decides on investments in network assets, such as replacing overloaded conductors and installing capacitor banks and voltage regulators, whereas the EVCSs owner decides on EVCSs infrastructure such as land size and location, as well as the number of chargers to be constructed. The model is designed to reduce the total expected cost for both owners. A travel simulation algorithm provides the EVCSs' load profiles. Scenario-based optimization is used to address uncertainties related to the energy price at the substation, wind speed, solar irradiation, electricity demand, EVCSs load profiles, and plug-in electric vehicle adoption rate. The effectiveness of the proposed model has been proved on a 69-node network. Results show that the objectives of both owners are in conflict, both depending on the location of the EVCSs.-
Descrição: dc.descriptionSão Paulo State University Department of Electrical Engineering-
Descrição: dc.descriptionUniversidad de Castilla-La Mancha Escuela Técnica Superior de Ingeniería Industrial-
Descrição: dc.descriptionSão Paulo State University Department of Electrical Engineering-
Idioma: dc.languageen-
Relação: dc.relationSEST 2022 - 5th International Conference on Smart Energy Systems and Technologies-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDistribution system planning-
Palavras-chave: dc.subjectelectric vehicle charging stations-
Palavras-chave: dc.subjectmixed-integer linear programming-
Palavras-chave: dc.subjectmulti-objective optimization-
Palavras-chave: dc.subjectstochastic optimization-
Título: dc.titleDistribution System Planning Considering Non-Utility-Owned Electric Vehicle Charging Stations-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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