Application of K-Means Clustering for Designing Power Distribution Network
DOI:
https://doi.org/10.51983/ajes-2019.8.2.2365Keywords:
Elbow Method,, K-Means Clustering, Power Distribution, Rural ElectrificationAbstract
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.
References
World Bank, "Sustainable Energy for All (SE4ALL)", database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program, [Online]. Available: https://data.worldbank.org/indicator/eg.elc.accs.zs
S. Mukherji and U. Jumani, "SELCO 'Solar Lighting for the Poor – Growing Inclusive Markets'", 2011, [Online]. Available: http://www.growinginclusivemarkets.org/media/cases/India_SELCO_2011.pdf.
M. Ahuja, "Solar power lights up remote villages in Rajasthan" in The Hindustan Times, 2017, [Online]. Available: https://www.hindustantimes.com/jaipur/solar-power-lights-up-remote-villages-in-rajasthan/story-WJSQE0dBdhEba1E1UcbpuK.html
B. D. Sharma, "Performance of solar power plants in India" by Central Electricity Regulatory Commission, New Delhi, Jan 2011, [Online]. Available: http://www.cercind.gov.in/2011/Whats-New/Performance%20of%20solar%20power%20planTS.pdf
S. M. Ferrandez, H. Timothy, T. Weber, R. Sturges, and R. Rich, "Optimization of a truck-drone in tandem delivery network using K-means and genetic algorithm" in Journal of Industrial Engineering and Management, vol. 9, no. 2, pp. 374-387, 2016.
J. Oyelade, O. Olufunke, and I. Obagbuwa, "Application of K-means Clustering algorithm for prediction of Students Academic Performance" in International Journal of Computer Science and Information Security, vol. 7, no. 1, pp. 292-295, 2010.
M. Wu, C. Lin, and C. Chang, "Brain Tumor Detection Using Color-Based K-Means Clustering Segmentation" in Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 245-250, 2007.
M. Yang, H. Mei, and D. Huang, "An effective detection of satellite images via K-means clustering on Hadoop system" in International Journal of Innovative Computing, Information and Control, vol. 13, pp. 1037-1046.
O. Ozgonenel, D. W. P. Thomas, T. Yalcin, and I. N. Bertizlioglu, "Detection of blackouts by using K-means clustering in a power system" in 11th IET International Conference on Developments in Power Systems Protection (DPSP 2012), Birmingham, UK, pp. 1-6, 2012.
L. Kaufman and P. Rousseeuw, "Finding Groups in Data: An Introduction to Cluster Analysis" by Wiley Series in Probability and Statistics, 1990.
T. Kodinariya and M. P. R. Dan, "Review on Determining of Cluster in K-means Clustering" in International Journal of Advance Research in Computer Science and Management Studies, vol. 1, pp. 90-95, 2010.
T. Caliński and J. Harabasz, "A dendrite method for cluster analysis", in Communications in Statistics, vol. 3, no. 1, pp. 1-27.
P. J. Rousseeuw, "Silhouettes: A graphical aid to the interpretation and validation of cluster analysis" in Journal of Computational and Applied Mathematics, vol. 20, pp. 53-65, 1987.
Banerjee and R. K. Singh "Modi claims all Indian villages have electricity but India Today report says otherwise" India Today, April 30, 2018. [Online]. Available: https://www.indiatoday.in/india/story/pm-modi-claims-all-indian-villages-have-access-to-electricity-india-today-ground-report-says-otherwise-1223078-2018-04-29.
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