Phase synchronization analysis of bridge oscillators between clustered networks

Página do item simplificado
dc.creatorArthur Noronha Montanari
dc.creatorLeandro Freitas
dc.creatorLeonardo Antônio Borges Tôrres
dc.creatorLuis Antonio Aguirre
dc.date.accessioned2025-05-22T12:58:05Z
dc.date.accessioned2025-09-09T00:03:22Z
dc.date.available2025-05-22T12:58:05Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.1007/s11071-019-05135-x
dc.identifier.issn0924-090X
dc.identifier.urihttps://hdl.handle.net/1843/82443
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.rightsAcesso Restrito
dc.subjectEletrônica de potência
dc.subject.otherPhase synchronization
dc.subject.otherStability analysis
dc.subject.otherKuramoto oscillators
dc.subject.otherClustered networks
dc.subject.otherPerturbed systems
dc.titlePhase synchronization analysis of bridge oscillators between clustered networks
dc.typeArtigo de periódico
local.citation.epage2411
local.citation.issue4
local.citation.spage2399
local.citation.volume97
local.description.resumoRecent works aim to establish necessary and sufficient conditions to guarantee phase synchronization between clusters of oscillators, usually assuming knowledge of the intra-cluster connections, that is, connections among oscillators of the same cluster. In this context, this paper takes a different approach in studying the stability of the synchronous manifold between clusters. By focusing on the inter-cluster relations between the bridge oscillators, a simplified problem is considered where intra-cluster effects are described as perturbations. Based on Lyapunov’s direct method, a framework is put forward to derive sufficient conditions for the ultimately boundedness of the phase difference between the bridge oscillators. This analysis does not rely on full information on the adjacency matrix describing the specific connections among oscillators within each cluster, an information that is not always available. The established theoretical conditions are compared to numerical simulations in two examples: (i) two interconnected clusters of Kuramoto oscillators, and (ii) a benchmark model of a power grid. Results indicate that the method is effective and that its conservativeness depends on the available network information. This framework can be generalized to different networks and oscillators.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://link.springer.com/article/10.1007/s11071-019-05135-x

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
License.txt
Tamanho:
1.99 KB
Formato:
Plain Text
Descrição:
Baixar

Coleções

Artigo de Periódico

Logo UFMG