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

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dc.contributor.authorDe Lima, Tayenne D. [UNESP]
dc.contributor.authorFranco, John F. [UNESP]
dc.contributor.authorLezama, Fernando
dc.contributor.authorSoares, Joao
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionPolytechnic Institute of Porto (ISEP/IPP)
dc.date.accessioned2022-04-29T08:39:23Z
dc.date.available2022-04-29T08:39:23Z
dc.date.issued2022-01-01
dc.description.abstractThe 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.en
dc.description.affiliationDepartment of Electrical Engineering Sao Paulo State University (UNESP) Ilha Solteira
dc.description.affiliationSchool of Energy Engineering UNESP, Rosana
dc.description.affiliationRes. Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Polytechnic Institute of Porto (ISEP/IPP)
dc.description.affiliationUnespDepartment of Electrical Engineering Sao Paulo State University (UNESP) Ilha Solteira
dc.description.affiliationUnespSchool of Energy Engineering UNESP, Rosana
dc.format.extent19133-19148
dc.identifierhttp://dx.doi.org/10.1109/ACCESS.2022.3146799
dc.identifier.citationIEEE Access, v. 10, p. 19133-19148.
dc.identifier.doi10.1109/ACCESS.2022.3146799
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85124088952
dc.identifier.urihttp://hdl.handle.net/11449/230342
dc.language.isoeng
dc.relation.ispartofIEEE Access
dc.sourceScopus
dc.subjectDistribution system expansion planning
dc.subjectintegrated planning of electrical distribution system and EV charging stations
dc.subjectlong-term stochastic planning model
dc.subjectrenewable distributed generation
dc.titleA Specialized Long-Term Distribution System Expansion Planning Method with the Integration of Distributed Energy Resourcesen
dc.typeArtigo
unesp.author.orcid0000-0002-9729-3932[1]
unesp.author.orcid0000-0002-7191-012X 0000-0002-7191-012X[2]
unesp.author.orcid0000-0001-8638-8373[3]
unesp.author.orcid0000-0002-4172-4502[4]

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Artigos - Engenharia Elétrica - FEIS
Artigos - Turismo - Rosana