Metaheuristic Approach Hybridizing Variable Neighborhood Search and Genetic Algorithm to Size Hybrid Backup Systems for Power Outages

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorSimon Fraser University-
Autor(es): dc.creatorHolzbach, Matheus-
Autor(es): dc.creatorFranco Baquero, John Fredy-
Autor(es): dc.creatorResener, Mariana-
Data de aceite: dc.date.accessioned2025-08-21T19:03:46Z-
Data de disponibilização: dc.date.available2025-08-21T19:03:46Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/WCNPS65035.2024.10814194-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308810-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308810-
Descrição: dc.descriptionThis paper proposes a hybridization approach of metaheuristic techniques for sizing hybrid backup systems to supply essential loads during power outages. Two classic metaheuristic techniques were considered for this application, with contrasting search philosophies: the Genetic Algorithm and the Variable Neighborhood Search. The proposed method is analyzed through a case study for the maintenance of auxiliary services in a substation. The hybrid approach was compared with the pure metaheuristics that it is based on, observing the processing time and quality of the solution found. Finally, a statistical analysis was carried out to verify the performance of the techniques in a sequence of repetitions. The results obtained in this study suggest that although the hybridization proposal has a higher processing time than the other methods, it provided greater assertiveness in solving the problem.-
Descrição: dc.descriptionSão Paulo State University-
Descrição: dc.descriptionSimon Fraser University-
Descrição: dc.descriptionSão Paulo State University-
Idioma: dc.languageen-
Relação: dc.relation2024 Workshop on Communication Networks and Power Systems, WCNPS 2024-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjecthybrid backup systems-
Palavras-chave: dc.subjectmetaheuristics-
Palavras-chave: dc.subjectpower outages-
Palavras-chave: dc.subjectsubstations-
Título: dc.titleMetaheuristic Approach Hybridizing Variable Neighborhood Search and Genetic Algorithm to Size Hybrid Backup Systems for Power Outages-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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