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Ajustement diffus et adaptatif de la consommation électrique résidentielle par un système multi-agent auto-adaptatif

Victor Lequay 1, 2 Mathieu Lefort 1 Saber Mansour 2 Salima Hassas 1
1 SMA - Systèmes Multi-Agents
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Load shedding is a cheap and eco-friendly way to maintain balance on the power grid, by matching consumption on production. In this context, the main problem is to coordinate smart buildings in order for them to be able to anticipate their need and also to collectively adjust their load shedding. We present a bottom-up approach on distributed loadshedding and propose a decentralized model based on gossip protocols. These algorithms provide a strong and scalable platform on top of which we built a self-evaluation mechanism ensuring enough reliability to be used on a large scale power grid, ie the ability to maintain a stable load shedding. In this article, we present our system and discuss the first results we obtained with it, before presenting some of its possible improvements.
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Submitted on : Wednesday, August 30, 2017 - 10:59:50 AM
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Victor Lequay, Mathieu Lefort, Saber Mansour, Salima Hassas. Ajustement diffus et adaptatif de la consommation électrique résidentielle par un système multi-agent auto-adaptatif. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2017, 31 (4/2017), pp.427-447. ⟨10.3166/ria.31.427-448⟩. ⟨hal-01578976⟩

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