Optimal Planning of Autonomous Electric Vehicles Charging Stations with Photovoltaic Generations and Energy Storage Systems in Electric Distribution Systems

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorEcole Centrale de Lille-
Autor(es): dc.contributorPolytechnic of Porto-
Autor(es): dc.contributorINOCS-
Autor(es): dc.creatorde Lima, Tayenne Dias-
Autor(es): dc.creatorAli, Haider-
Autor(es): dc.creatorSoares, João-
Autor(es): dc.creatorFranco, John F.-
Autor(es): dc.creatorFrancois, Bruno-
Autor(es): dc.creatorBrotcorne, Luce-
Data de aceite: dc.date.accessioned2025-08-21T17:22:20Z-
Data de disponibilização: dc.date.available2025-08-21T17:22:20Z-
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/ISGTEUROPE56780.2023.10407249-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/307902-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/307902-
Descrição: dc.descriptionWith the anticipated growth in transport sector, emissions in this sector must be 20% by 2030, as required by Net Zero by 2050 Scenario. In this context, the electric vehicles (EVs) industry has grown in recent years, contributing to the developing of new technologies such as autonomous EVs (AEVs). Investment in AEVs charging infrastructure is a key point to support the integration of this new technology. Thus, a mixed-integer linear programming (MILP) model is proposed in this paper for the allocation of AEVs charging stations (AEVCS) equipped with PV generation and energy storage systems. Such technologies are scaled using the proposed model, considering uncertainties related to AEV demand and the renewable generation. Divisions by zone have been considered to distribute AEVCS over the system. Furthermore, environmental constraints are included in the model. Finally, results for applying the optimization model in the 69-bus system demonstrate the applicability of the proposed model.-
Descrição: dc.descriptionDept.of Electrical Engineering São Paulo State University-
Descrição: dc.descriptionL2EP Ecole Centrale de Lille-
Descrição: dc.descriptionLASI GECAD Polytechnic of Porto-
Descrição: dc.descriptionINRIA INOCS-
Descrição: dc.descriptionDept.of Electrical Engineering São Paulo State University-
Idioma: dc.languageen-
Relação: dc.relationIEEE PES Innovative Smart Grid Technologies Conference Europe-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAutonomous electric vehicles-
Palavras-chave: dc.subjectAutonomous EV charging stations-
Palavras-chave: dc.subjectenergy storage systems-
Palavras-chave: dc.subjectlow carbon development strategy-
Palavras-chave: dc.subjectphotovoltaic units-
Título: dc.titleOptimal Planning of Autonomous Electric Vehicles Charging Stations with Photovoltaic Generations and Energy Storage Systems in Electric Distribution Systems-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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