Outubro 2023 vol. 10 num. 5 - IX Simpósio Internacional de Inovação e Tecnologia
Full article - Open Access.
A DISTRIBUTED ENERGY MANAGEMENT PROPOSAL BASED ON A PEER-TO-PEER MODEL
A DISTRIBUTED ENERGY MANAGEMENT PROPOSAL BASED ON A PEER-TO-PEER MODEL
Borges, Toni Alex Reis ; Guimarães, Rafael ; Torre, Benito Rafael Santana de la ; Saba, Hugo ; Nascimento Filho, Aloísio S. ;
Full article:
The demand for renewable energy has been increasing due to the growing concern about climate change. Building a model capable of enabling the use of different types of energy production integrated into a network is the objective of this work. To achieve this, we will use the State of Bahia as the research locus, aiming for a clustering model based on the k-means method for the decentralization of managing bases, interconnected in a point-to-point (P2P) network through a minimum spanning tree defined as the main matrix. This matrix will be constructed based on the Kruskal's algorithm with redundancy in minimal cliques. Preliminary results indicate the feasibility of capturing from various possibilities of energy production sources for any renewable energy park management scenario.
Full article:
The demand for renewable energy has been increasing due to the growing concern about climate change. Building a model capable of enabling the use of different types of energy production integrated into a network is the objective of this work. To achieve this, we will use the State of Bahia as the research locus, aiming for a clustering model based on the k-means method for the decentralization of managing bases, interconnected in a point-to-point (P2P) network through a minimum spanning tree defined as the main matrix. This matrix will be constructed based on the Kruskal's algorithm with redundancy in minimal cliques. Preliminary results indicate the feasibility of capturing from various possibilities of energy production sources for any renewable energy park management scenario.
Palavras-chave: State of Bahia, Renewable Energy, Clustering, Minimum Spanning Tree, Microgrids,
Palavras-chave: State of Bahia, Renewable Energy, Clustering, Minimum Spanning Tree, Microgrids,
DOI: 10.5151/siintec2023-296176
Referências bibliográficas
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Como citar:
Borges, Toni Alex Reis; Guimarães, Rafael; Torre, Benito Rafael Santana de la; Saba, Hugo; Nascimento Filho, Aloísio S. ; "A DISTRIBUTED ENERGY MANAGEMENT PROPOSAL BASED ON A PEER-TO-PEER MODEL", p. 1-8 . In: .
São Paulo: Blucher,
2023.
ISSN 2357-7592,
DOI 10.5151/siintec2023-296176
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