Electricity distribution clustering and configuration study using KM-MST

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the most concerned things on the power system is how to build an optimum distribution configuration. Several techniques are developed in order to get the minimum number of distribution cost and also reduce total loss along the distribution system. Minimizing total cable spanning distance is the best way to achieve those objectives. Minimum spanning tree is appropriate to find the best configuration because of its ability to connect all nodes with minimum cost. The problem is, in this case study, the configuration must be deal with sub-system constrain. To deal with that, this study attempts to build the electricity configuration using KM-MST (K Means-Minimum Spanning Tree). By using KM-MST, the best number of cluster that can be built is 5 clusters with error 0.0958. Furthermore, as the final result, the optimal configuration for each sub-system in the whole system is achieved with total distance cost of 7.11222.

Original languageEnglish
Title of host publicationProceeding - 2017 3rd International Conference on Science in Information Technology
Subtitle of host publicationTheory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
EditorsRafal Drezewski, Goutam Chakraborty, Shah Nazir, Lala Septem Riza, Ummi Raba'ah Hashim, Aji Prasetyo Wibawa, Yaya Wihardi, Andri Pranolo, Enjun Junaeti, Shi-Jinn Horng, Heui Seok Lim, Leonel Hernandez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages138-143
Number of pages6
ISBN (Electronic)9781509058662
DOIs
Publication statusPublished - 12 Jan 2018
Event3rd International Conference on Science in Information Technology, ICSITech 2017 - Bandung, Indonesia
Duration: 25 Oct 201726 Oct 2017

Publication series

NameProceeding - 2017 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017
Volume2018-January

Conference

Conference3rd International Conference on Science in Information Technology, ICSITech 2017
CountryIndonesia
CityBandung
Period25/10/1726/10/17

Keywords

  • clustering
  • distribution configuration
  • graph optimization
  • K-means
  • minimum spanning tree

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