A Novel Solution Technique for the Expansion Planning of Modern Distribution Systems

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorE.T.S. de Ingeniería Industrial-
Autor(es): dc.creatorMarcelo, Jonathan A.-
Autor(es): dc.creatorMuñoz-Delgado, Gregorio-
Autor(es): dc.creatorContreras, Javier-
Autor(es): dc.creatorMantovani, José R. S.-
Data de aceite: dc.date.accessioned2025-08-21T21:16:13Z-
Data de disponibilização: dc.date.available2025-08-21T21:16:13Z-
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/EEEIC/ICPSEurope57605.2023.10194884-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/309466-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/309466-
Descrição: dc.descriptionThis paper addresses the expansion planning problem of modern distribution systems using a novel solution methodology based on matheuristics. The problem is formulated as a mixed-integer quadratic programming model. The proposed technique constitutes a novel local search algorithm that, using linearized and relaxed versions of the original problem, finds successive solutions, improving at each iteration the feasibility of the original problem until attaining a high-quality near-optimal solution. Planning actions include line reconductoring and installation of distributed generation (DG) units, electrical energy storage (EES) systems, and fixed and switchable capacitor banks (CBs). Operation system variability in demand and energy resources is modeled through representative days in order to preserve EES temporal transition. Furthermore, the model guarantees CO2 reduction in order to be on track to limit global warming. The effective performance of the proposed approach in terms of solution quality and computational time has been illustrated with a case study based on a 33-node distribution system.-
Descrição: dc.descriptionSão Paulo State University Dept. of Electrical Engineering-
Descrição: dc.descriptionUniversidad de Castilla-La Mancha E.T.S. de Ingeniería Industrial-
Descrição: dc.descriptionSão Paulo State University Dept. of Electrical Engineering-
Idioma: dc.languageen-
Relação: dc.relationProceedings - 2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCO2emissions reduction-
Palavras-chave: dc.subjectLocal search algorithm-
Palavras-chave: dc.subjectmodern distribution systems-
Palavras-chave: dc.subjectquadratic programming-
Título: dc.titleA Novel Solution Technique for the Expansion Planning of Modern Distribution Systems-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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