A Specialized Long-Term Distribution System Expansion Planning Method with the Integration of Distributed Energy Resources

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorPolytechnic Institute of Porto (ISEP/IPP)-
Autor(es): dc.creatorDe Lima, Tayenne D.-
Autor(es): dc.creatorFranco, John F.-
Autor(es): dc.creatorLezama, Fernando-
Autor(es): dc.creatorSoares, Joao-
Data de aceite: dc.date.accessioned2025-08-21T23:47:18Z-
Data de disponibilização: dc.date.available2025-08-21T23:47:18Z-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2022-04-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ACCESS.2022.3146799-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/230342-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/230342-
Descrição: dc.descriptionThe electrical distribution system (EDS) has undergone major changes in the last decade due to the increasing integration of distributed generation (DG), particularly renewable energy DG. Since renewable energy resources have uncertain generation, energy storage systems (ESSs) in the EDS can reduce the impact of those uncertainties. Besides, electric vehicles (EVs) have been increasing in recent years leveraged by environmental concerns, bringing new challenges to the operation and planning of the EDS. In this con, new approaches for the distribution system expansion planning (DSEP) problem should consider the distributed energy resources (DG units, ESSs, and EVs) and address environmental impacts. This paper proposes a mixed-integer linear programming model for the DSEP problem considering DG units, ESSs, and EV charging stations, thus incorporating the environmental impact and uncertainties associated with demand (conventional and EVs) and renewable generation. In contrast to other approaches, the proposed model includes the simultaneous optimization of investments in substations, circuits, and distributed energy resources, including environmental aspects (CO2 emissions). The optimization method was developed in the modeling language AMPL and solved via CPLEX. Tests carried out with a 24-node system illustrate its effectiveness as a valuable tool that can assist EDS planners in the integration of distributed energy resources.-
Descrição: dc.descriptionDepartment of Electrical Engineering Sao Paulo State University (UNESP) Ilha Solteira-
Descrição: dc.descriptionSchool of Energy Engineering UNESP, Rosana-
Descrição: dc.descriptionRes. Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Polytechnic Institute of Porto (ISEP/IPP)-
Descrição: dc.descriptionDepartment of Electrical Engineering Sao Paulo State University (UNESP) Ilha Solteira-
Descrição: dc.descriptionSchool of Energy Engineering UNESP, Rosana-
Formato: dc.format19133-19148-
Idioma: dc.languageen-
Relação: dc.relationIEEE Access-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDistribution system expansion planning-
Palavras-chave: dc.subjectintegrated planning of electrical distribution system and EV charging stations-
Palavras-chave: dc.subjectlong-term stochastic planning model-
Palavras-chave: dc.subjectrenewable distributed generation-
Título: dc.titleA Specialized Long-Term Distribution System Expansion Planning Method with the Integration of Distributed Energy Resources-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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