Context Presentation

RennesGrid is an energy transition project in the Ker Lann business park in Bruz. In particular, this project focuses on self-consumption integrating photovoltaic panels, storage devices and energy data collection. As part of this project, this thesis aims to implement a multi-agent system managing the consumption of flexible loads, particularly electric vehicles, and the production of power sources (photovoltaics).The smart grid concept is driving an explosion in the number of controllable units (flexible loads, decentralized producers, storage units, etc.). In addition, issues related to energy management in the smart grid, whether local (voltage control at bus level, congestion control) or global such as managing the balance between consumption and production, make the problem strongly linked.

The flexibility of adaptive multi-agent systems is relevant to this issue. Indeed, it enables to manage a dynamic environment (consumption, production, power grid...). It is also open and robust. Thus, it is able to adapt to the ever-increasing energy demand and the need to keep the power grid in service, particularly when an incident happens.

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Figure 1: Smart grid concept

Scientific Goals

- The realization of a micro grid simulator and a scenario generator

- The design and evaluation of an adaptive multi-agent system managing a micro grid

Keywords

neOCampus, smart grid, optimization, multi-agent systems

Contacts

Jean-Baptiste.Blanc-Rouchosse@irit.fr