Active distribution system planning considering non-utility-owned electric vehicle charging stations and network reconfiguration

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidad de Castilla-La Mancha-
Autor(es): dc.creatorMejia, Mario A.-
Autor(es): dc.creatorMacedo, Leonardo H.-
Autor(es): dc.creatorMuñoz-Delgado, Gregorio-
Autor(es): dc.creatorContreras, Javier-
Autor(es): dc.creatorPadilha-Feltrin, Antonio-
Data de aceite: dc.date.accessioned2025-08-21T20:55:59Z-
Data de disponibilização: dc.date.available2025-08-21T20:55:59Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.segan.2023.101101-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/301954-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/301954-
Descrição: dc.descriptionThis paper introduces a new mixed-integer linear programming formulation for planning active distribution networks and non-utility-owned electric vehicle charging stations (EVCS), using network reconfiguration as a planning option. The method employs multi-objective optimization to address the commercial interests of the utility and the EVCS owner separately. In this manner, the utility makes investment decisions for network assets, such as replacing overloaded conductors and installing capacitor banks and voltage regulators, whereas the EVCS owner decides on the purchase of land and infrastructure for the EVCS installation. Furthermore, as an outstanding feature, the proposed formulation incorporates network reconfiguration within the planning options. The proposed model aims to minimize the total expected cost for both owners. A travel simulation algorithm provides the EVCS load profiles. At the same time, scenario-based optimization addresses uncertainties related to substation energy prices, wind speed, solar irradiance, electricity demand, adoption rate, and loading profile of plug-in electric vehicles. The effectiveness of the proposed model has been demonstrated in a 69-node network. The findings show that when deciding where to install the EVCS (network node), the objectives of both owner's clash. This discrepancy, however, can be reduced through network reconfiguration. Finally, the scalability of the proposed method was evaluated using a real 134-node system.-
Descrição: dc.descriptionEuropean Regional Development Fund-
Descrição: dc.descriptionUniversidad de Castilla-La Mancha-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionJunta de Comunidades de Castilla-La Mancha-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionMinisterio de Ciencia e Innovación-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University, Avenida Brasil 56, Centro, SP-
Descrição: dc.descriptionDepartment of Engineering São Paulo State University, Avenida dos Barrageiros 1881, Centro, SP-
Descrição: dc.descriptionEscuela Técnica Superior de Ingeniería Industrial Universidad de Castilla-La Mancha-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University, Avenida Brasil 56, Centro, SP-
Descrição: dc.descriptionDepartment of Engineering São Paulo State University, Avenida dos Barrageiros 1881, Centro, SP-
Descrição: dc.descriptionFAPESP: 2015/21972-6-
Descrição: dc.descriptionFAPESP: 2018/20355-1-
Descrição: dc.descriptionFAPESP: 2019/19632-3-
Descrição: dc.descriptionJunta de Comunidades de Castilla-La Mancha: 2023-GRIN-34074-
Descrição: dc.descriptionCAPES: 88887.371636/2019-00-
Descrição: dc.descriptionMinisterio de Ciencia e Innovación: PID2021-122579OB-I00-
Idioma: dc.languageen-
Relação: dc.relationSustainable Energy, Grids and Networks-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectActive distribution networks planning-
Palavras-chave: dc.subjectElectric vehicle charging stations-
Palavras-chave: dc.subjectMulti-objective optimization-
Palavras-chave: dc.subjectNetwork reconfiguration-
Palavras-chave: dc.subjectRenewable distributed generation-
Título: dc.titleActive distribution system planning considering non-utility-owned electric vehicle charging stations and network reconfiguration-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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