Monitoring Traffic Optimization in Smart Grid

Guillaume Habault 1, 2, 3 Maxime Lefrançois 4, 5 François Lemercier 1, 2, 3 Nicolas Montavont 1, 2, 3 Periklis Chatzimisios 6 Georgios Z. Papadopoulos 2, 3
1 OCIF - Objets communicants pour l'Internet du futur
Télécom Bretagne, IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
2 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
3 SRCD - Département Systèmes Réseaux, Cybersécurité et Droit du numérique
4 LHC - Laboratoire Hubert Curien [Saint Etienne]
5 Mines Saint-Étienne MSE - École des Mines de Saint-Étienne
6 CSSN Research Lab - Computing Systems, Security and Networks
Abstract : The emergence of micro-generation systems steadily increases and it raises concerns regarding their impact on the power grid. It is therefore crucial to efficiently integrate them into future Smart Grid Architectures. Actually, there is not any standard way to monitor production units. And current data collection systems are naive and do not consider their impact on Local Area Networks. This article studies a set of proposed mechanisms that reduces the monitoring traffic, while offering management flexibility on large-scale systems. This study is illustrated with measurements performed on a small grid. It shows that, for monitoring a PV production, both one minute and one second intervals provides the same production estimation, while significantly decreasing the associated traffic. It can be reduced even more by aggregating several measurements during a given period before sending them, and by using specific mechanisms to ensure reliability. This experiment also helps authors identify best practices for monitoring different equipment based on their behaviors.
Keywords : Nanogrid Monitoring traffic Constrained nodes Monitoring Semantic Photovoltaic panel Smart Grid
Type de document :
Article dans une revue
IEEE Transactions on Industrial Informatics, Institute of Electrical and Electronics Engineers, 2017, 13 (6), pp.3246 - 3255. 〈10.1109/TII.2017.2742584〉
Liste complète des métadonnées
https://hal-emse.ccsd.cnrs.fr/emse-01638261
Contributeur : Florent Breuil <>
Soumis le : lundi 20 novembre 2017 - 09:07:22
Dernière modification le : mercredi 7 novembre 2018 - 14:52:02

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Guillaume Habault, Maxime Lefrançois, François Lemercier, Nicolas Montavont, Periklis Chatzimisios, et al.. Monitoring Traffic Optimization in Smart Grid. IEEE Transactions on Industrial Informatics, Institute of Electrical and Electronics Engineers, 2017, 13 (6), pp.3246 - 3255. 〈10.1109/TII.2017.2742584〉. 〈emse-01638261〉

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