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Evaluation of Smart Grid Communication Technologies with a Co-Simulation Platform

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Apr 2017 Italy Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Wireless Communications, volume 24, pages 42-49 (issn: 1536-1284,

Authors: GARAU, MICHELE; CELLI, GIANNI; GHIANI, EMILIO; PILO, FABRIZIO GIULIO LUCA; Corti, Sergio;

doi: 10.1109/mwc.2017.1600214

handle: 11584/212300

Evaluation of Smart Grid Communication Technologies with a Co-Simulation Platform

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Abstract

In smart grids the bidirectional exchange of large amounts of data will create a keen interdependence between electric system and communication, automation and control systems. In order to assess the performance of communication technologies for smart grid applications and find the most appropriate, co-simulation tools are crucial to simulate the behavior of both physical and cyber systems simultaneously, and properly consider their mutual interaction in planning and operation studies. This article aims at evaluating some wireless and wired communication technologies for smart grid implementation. The analysis performed shows that wireless technologies are potentially suitable for smart grid applications, while a combination of mixed wireless and wired technologies may introduce latencies that cannot match with mission critical functions, such as network protection.

Country

Italy

Related Organizations

University of Cagliari
Italy

Keywords

co-simulation tools; physical and cyber systems; smart grid; wireless and wired communication Technologies; LTE; PLC

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	47
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%