Capacity Management in Smart Grids Using Greedy Randomized Adaptive Search Procedure and Tabu Search

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorSerrano, Hugo de Oliveira Motta-
Autor(es): dc.creatorReiz, Cleberton-
Autor(es): dc.creatorLeite, Jonatas Boas-
Data de aceite: dc.date.accessioned2025-08-21T17:18:54Z-
Data de disponibilização: dc.date.available2025-08-21T17:18:54Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-08-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/pr11082464-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/299210-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/299210-
Descrição: dc.descriptionOver time, distribution systems have progressed from small-scale systems to complex networks, requiring modernization to adapt to these increasing levels of active loads and devices. It is essential to manage the capacity of distribution networks to support all these new technologies. This work, therefore, presents a method for evaluating the impact of optimal allocation and sizing of DGs and load shedding for response demand programs on distribution networks to improve the reliability and financial performance of electric power systems. The proposed optimization tool uses the Greedy Randomized Adaptive Search Procedure and Tabu Search algorithms. The combined optimization of DG allocation simultaneously with load shedding, reliability indices, load transference, and the possibility of islanded operation significantly improves the quality of the planning proposals obtained by the developed method. The results demonstrate the efficiency and robustness of the proposed method, improving the voltage profile by up to 2.02%, relieving the network capacity, and increasing the load restoration capability and reliability. Statistical analysis is also carried out to highlight the performance of the proposed methodology.-
Descrição: dc.descriptionDepartment of Electrical Engineering Faculty of Electrical Engineering Sao Paulo State University, Campus of Ilha Solteira-
Descrição: dc.descriptionDepartment of Electrical Engineering Faculty of Electrical Engineering Sao Paulo State University, Campus of Ilha Solteira-
Idioma: dc.languageen-
Relação: dc.relationProcesses-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcapacity management-
Palavras-chave: dc.subjectdistributed generator-
Palavras-chave: dc.subjectdistribution network-
Palavras-chave: dc.subjectGRASP-
Palavras-chave: dc.subjectload shedding-
Palavras-chave: dc.subjectTabu Search-
Título: dc.titleCapacity Management in Smart Grids Using Greedy Randomized Adaptive Search Procedure and Tabu Search-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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