Eco-friendly Planning of DG units and EV Charging Stations in Electrical Distribution Systems: A Multi-Objective Mixed Integer Linear Programming Model

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorGecad Polytechnic of Porto-
Autor(es): dc.creatorLima, Tayenne Dias de-
Autor(es): dc.creatorSoares, Joao-
Autor(es): dc.creatorLezama, Fernando-
Autor(es): dc.creatorFranco, John F.-
Autor(es): dc.creatorVale, Zita-
Data de aceite: dc.date.accessioned2025-08-21T18:45:10Z-
Data de disponibilização: dc.date.available2025-08-21T18:45:10Z-
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/PMAPS53380.2022.9810639-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/240562-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/240562-
Descrição: dc.descriptionNational and international policies have encouraged the adoption of renewable generation and electric vehicles (EV) to reduce greenhouse gas emissions and alleviate climate change. In the following years, there is a strong growth trend for these technologies, stimulated by global agreements (i.e., the Paris Agreement). In this context, this paper proposes a multi-objective approach based on stochastic programming for the planning of distributed generation (DG) and EV charging stations, which considers the minimization of two conflicting objectives: costs and CO2 emissions. Multi-period investments in DG allocation (renewable and non-renewable) and EV charging stations are considered to maintain the feasible operation of the electrical distribution systems. The uncertainties related to renewable generation, conventional demand, and EV demand are modeled through a set of representative scenarios. Tests demonstrate the applicability of the proposed approach. The set of Pareto solutions found by the proposed approach represents the trade-off between cost and emission objectives.-
Descrição: dc.descriptionSão Paulo State University Dep. of Electrical Engineering-
Descrição: dc.descriptionSão Paulo State University School of Energy Engineering-
Descrição: dc.descriptionGecad Polytechnic of Porto-
Descrição: dc.descriptionSão Paulo State University Dep. of Electrical Engineering-
Descrição: dc.descriptionSão Paulo State University School of Energy Engineering-
Idioma: dc.languageen-
Relação: dc.relation2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCO2emissions-
Palavras-chave: dc.subjectDistribution system planning-
Palavras-chave: dc.subjectEV charging stations-
Palavras-chave: dc.subjectmulti-objective optimization-
Palavras-chave: dc.subjectrenewable distributed generation-
Título: dc.titleEco-friendly Planning of DG units and EV Charging Stations in Electrical Distribution Systems: A Multi-Objective Mixed Integer Linear Programming Model-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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