energy transition

Romain Dupin wants to make the electricity grid smarter

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MINES ParisTech invites you to discover the portraits of its doctoral students and their careers, in connection with the School and its research centres. Today, a meeting with Romain Dupin, PhD student at the Centre PERSEE (Processes, Renewable Energies and Energy Systems).
 
Jome 27-year-old researcher Romain Dupin has been working for three years on electrical networks through a thesis entitled "Dynamic Line Rating prediction and impacts on the electrical network".
Work that it will support in January 2018 and which aims to propose a method for optimizing the management of power system constraints.
 

"Electricity" and "data", the two key words of an atypical career path

 
A graduate of Centrale Lille, Romain specialized in the 3rd year on electrical networks, within the "Electrical Network" Chair of his school. At the same time, and in a very different field, he worked during his weekends for an investment fund in Paris, where he developed models of credit scoring based on methods of Artificial Intelligence.
 
He then became passionate about these two subjects, electricity transfer issues and Artificial Intelligence. In 2015, he joined the ERSEI group (Renewable Energies and SmartGrids) at the PERSEE Center in Sophia Antipolis (near Nice), the main French research group where these two themes are addressed.
Subsequently, in addition to the expertise provided by his supervisors and with the support of a mobility grant obtained within the framework of the Joint Program Smart Grids of the EERA (European Energy Research Alliance), Romain had the opportunity to work for several months at INESC Tec in Portugal, another laboratory specializing in these topical issues of interest to different European countries.
 

A subject at the heart of the energy transition

 
If you ask Roman why he chose this subject, he will answer: "Because I wanted to understand! ». But beyond this explanation, which illustrates the young researcher's thirst for discovery, Romain's thesis tackles an essential issue in current thinking on energy transition.
 
The approach of his thesis is based on the observation that power lines today are similar to motorways on which the maximum speed is still set at 50 km/h. Indeed, for reasons of simplicity, network managers set limits on power lines that are very often significantly lower than their true physical limit. Romain then participates in the development of Dynamic Line Rating (DLR), a technology that is increasingly considered promising by electricity network managers and which makes it possible to define this limit in a "flexible" way, changing dynamically with weather conditions.
 
More specifically, in this context, it is developing a complex approach that allows DLR to be taken into account in action decisions made the day before their application, based on machine-learning type models that take into account the characteristics of the power grid, weather forecasts and economic characteristics in order to maximize social welfare while respecting very restrictive risk criteria.
 
The key to this work? Optimising the use of existing electricity grids, succeeding in improving electricity exchanges between European countries and enabling greater penetration of renewable energies on the electricity grid to promote energy transition.
 
 
 

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