Topological Analyses of An Improved Power Transmission Network of Southeast Europe Using Clustering Methods

Kanevche, Aleksandra and Bogojeska, Aleksandra (2013) Topological Analyses of An Improved Power Transmission Network of Southeast Europe Using Clustering Methods. In: Proceedings of the Tenth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 127-130. ISBN 978-608-4699-01-9

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Abstract

In this paper clustering analysis of the power transmission network of South East Europe is used to identify the grouping clusters of the network and the links and nodes that connect them. This can help to assess the critical points of the network and the isolated islands. The topological analyzes of how this network should be developed in the future to satisfy the common market for electricity in this region is presented in this paper. In order to achieve this, the Girvan – Newman modularity function for the hierarchical clustering of the network is used. Taking into account the results of the clustering analyzes for the original network (the present network) and impact of the countries in the cluster formation we have proposed improved network. The results show substantially enhancement in terms of integration and compactness of the power transmission network. With this network upgrade, the impact of the countries in the power transmission network to the grouping in strongly connected modules is significantly reduced so the network can support the planned common market for electric power in the Southeast Europe.

Item Type: Book Section
Uncontrolled Keywords: power transmission network, modularity function clustering.
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
International Conference on Informatics and Information Technologies > Robotics
International Conference on Informatics and Information Technologies > Bioinformatics
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11023

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