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PhD: Local approach for modelling smart grids (M/F)

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Français - Anglais

Date Limite Candidature : jeudi 10 juin 2021

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General information

Reference : UPR2940-ELOBER-040
Workplace : GRENOBLE
Date of publication : Thursday, April 29, 2021
Scientific Responsible name : Didier Mayou
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 October 2021
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

The thesis project is the application of a new local approach that gives the electrical state of a part of the grid without requiring information from other parts. This approach is based on a reformulation of the basic equations of the grid which allows the direct application of methods that are well known and very powerful in condensed matter physics.
This approach will be applicable in static and dynamical regimes. It will allow to to understand for example how a local failure propagates in the grid. The proposed method will also be used to the control of power flow and tensions in reduced parts of very large grids. In order to validate it and show its interest this approach will be compared to historical methods of modelisation and control of the grid.

Work Context

The thesis will be done under the supervision of Didier Mayou (Director of Research CNRS) at the Institut Néel and in close collaboration with Pr Nicolas Retière of the G2ELab.
The Institut Néel is a laboratory of condensed matter physics which activities are very large containing in particular thematics related to energy. About 450 people work there. The laboratory is located in Grenoble, in a very rich international scientific environment, in the heart of the Alps.
The G2eLab is a laboratory specialized in thematics related to electrical energy. The subject of the thesis will benefit from complementary competencies of NicolasRetière (specialist of electrical grids) and Didier Mayou (physicist specialized in thematics related to energy).

Additional Information

The thesis is granted by the interdisciplinary program of the CNRS 80/PRIME.

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