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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Victor Lequay

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PhD student

Team Multi-Agent Systems
 
Institution Claude Bernard University of Lyon 1
Location Nautibus (Université Lyon1)
 
E-mail victor.lequay at liris.cnrs.fr
Contact details Publications Thesis
 
Subject Decentralized and Collaborative Energy Management in a Microgrid using a Multi-Agents System with Multi-modal Learning Capabilities
Abstract The energy sector is undergoing massive changes. With growing ecological concerns and thanks to ever-improving technologies, energy resources are diversifying and democratizing. To cope with these changes, one of the most studied approach is decentralization. By creating smaller sub-networks, called "microgrids", consisting of both energy producers and consummers trading with one another and more or less separated from the main grid, one can solve the issues of capacity, reliabilty and cost affecting the often renewable-based decentralized energy resources.
The aim of this PhD thesis is to offer a smart architecture (learning, self-adapting and scalable) to operate a microgrid built upon Ubiant's Home Energy Management Intelligent System (HEMIS). As Multi-Agents system provide high flexibility while maintaining the optimisation capacity to deal with real-time needs, and as HEMIS is built upon a
fundamentally decentralized approach, it seems interesting to use this
paradigm. The scientific question this thesis aims to tackle is the coupling of a
constructivist learning system with a decentralized monitoring system based on a multi-agents logic, to allow a self-adapting microgrid able to anticipate and plan its operations in an always changind environment.
Advisor Salima Hassas
Advisor Mathieu Lefort

Last update : 2018-01-16 13:38:14