Partición de una Red Eléctrica de Distribución Aplicando Algoritmos de Agrupamiento K-means y DBSCAN

José Castro; Paúl Soto; Ruth Reategui; Tuesman Castillo

doi:10.37116/revistaenergia.v20.n1.2023.572

Partitioning of an Electrical Distribution Systems Using K-Means and DBSCAN Clustering Algorithms

Partición de una Red Eléctrica de Distribución Aplicando Algoritmos de Agrupamiento K-means y DBSCAN

Published 2023-07-27

https://doi.org/10.37116/revistaenergia.v20.n1.2023.572

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Vol. 20 No. 1 (2023): Revista Técnica "energía", Edición No. 20, ISSUE I

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TECNOLÓGICOS E INNOVACIÓN

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Partitioning of an Electrical Distribution Systems Using K-Means and DBSCAN Clustering Algorithms. (2023). Revista Técnica "energía", 20(1), PP. 73-81. https://doi.org/10.37116/revistaenergia.v20.n1.2023.572

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https://doi.org/10.37116/revistaenergia.v20.n1.2023.572

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Partitioning of an Electrical Distribution Systems Using K-Means and DBSCAN Clustering Algorithms. (2023). Revista Técnica "energía", 20(1), PP. 73-81. https://doi.org/10.37116/revistaenergia.v20.n1.2023.572

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José Castro

Universidad Técnica Particular Loja - UTPL

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https://orcid.org/0000-0001-9888-469X

Paúl Soto

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Ruth Reategui

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Tuesman Castillo

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https://orcid.org/0000-0002-3677-7781

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Data Mining

Distribution Networks

Partition Electric

Clustering

This paper proposes the methodology to perform the partitioning of a distribution network using data clustering algorithms such as K-means and DBSCAN. The data is obtained by generating variations in the network parameters and simulating the voltage profile using OpenDSS software. The proposed methodology is implemented on standard IEEE test distribution networks of 34 and 123-node test feeders. The obtained results are compared with methods obtained from the literature.

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