Open AccessApplication of K-Means Clustering for Designing Power Distribution Network
Author(s) -
Shilpa Bansal
Publication year - 2019
Publication title -
asian journal of managerial science/asian journal of managerial science
Language(s) - English
Resource type - Journals
eISSN - 2583-9810
pISSN - 2249-6300
DOI - 10.51983/ajes-2019.8.2.2365
Subject(s) - cluster analysis , centroid , power (physics) , silhouette , computer science , distribution (mathematics) , electricity , power station , data mining , mathematical optimization , simulation , engineering , mathematics , electrical engineering , artificial intelligence , mathematical analysis , physics , quantum mechanics
Installation of independent power distribution network with central generation using solar power plant is a trending solution to meet the demands of electricity of energy starved rural areas. In this paper, application of K-means clustering is proposed for designing power distribution network which segregates the houses in suitable number of clusters and all the clusters centroids are connected to the central location of solar power plant. Total number of clusters is selected by application of three methods like Elbow method, CH index method and Average Silhouette method. This paper can act as a useful tool for planning and designing the distribution network while optimizing the distribution losses and installation cost of the network.