Resumen

SOTO, P.A.; CASTRO, J.R.; REATEGUI, R.M.  y  CASTILLO, T.D.. Partitioning of an Electrical Distribution Systems Using K-Means and DBSCAN Clustering Algorithms. Revista Técnica energía [online]. 2023, vol.20, n.1, pp.73-81. ISSN 2602-8492.  https://doi.org/10.37116/revistaenergia.v20.n1.2023.572.

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 feeder. The results show that the nodes are grouped, achieving an adequate partition of the electrical distribution network.

Palabras clave : Data Mining; Distribution Networks; Partition Electric; Clustering.

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