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Ajustement Diffus et Adaptatif de la Consommation Électrique Résidentielle par un Système Multi-Agents

Victor Lequay 1, 2 Mathieu Lefort 1 Saber Mansour 2 Salima Hassas 1 
1 SyCoSMA - Systèmes Cognitifs et Systèmes Multi-Agents
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : To balance production and consumption on the power grid, efforts are mostly made on the production side. Demand response allows to harness electricity consumption to overcome the constraints brought by the democratisation of renewable energy sources and self-production. In this context, the main problem is to coordinate agents, representing the network's nodes, in order for them to be able to anticipate their need and also to adjust their contribution to the collective load-shedding effort. We present a bottom-up approach on distributed load-shedding and propose a decentralized algorithm based on gossip protocols. These algorithms offer both reliability and scalability, while being efficient enough to be used on a large scale power grid. In this article, we present our model 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 - 2:13:06 PM
Last modification on : Monday, March 7, 2022 - 4:38:02 PM


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  • HAL Id : hal-01579098, version 1


Victor Lequay, Mathieu Lefort, Saber Mansour, Salima Hassas. Ajustement Diffus et Adaptatif de la Consommation Électrique Résidentielle par un Système Multi-Agents. Journées Francophones sur les Systèmes Multi-Agents (JFSMA), Oct 2016, Rouen, France. pp.171 - 180. ⟨hal-01579098⟩



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