DESCRIPTION :
This PhD thesis lies in the scope of operations research and combinatorial optimization. There
will be links with the fields of economics and electrical engineering.
The main objective of this project is to evaluate and optimize the resilience of power systems
in the context of a massive insertion of renewable energies. The project aims to elaborate a
comprehensive and integrated set of decision-support methods by considering extreme events in
present and future climates, the complexity of the power grid, and socio-economic scenarios.
This thesis position is funded by PowDev project (PEPR TASE). The main objective of this project
is to evaluate and optimize the resilience of power systems in the context of a massive insertion of
renewable energies. The project aims to elaborate a comprehensive and integrated set of decisionsupport
tools by considering extreme events in present and future climates, the complexity of the
power grid, and socio-economic scenarios.
Particularly, the PowerDev project seeks to achieve the following tasks :
* Simulate, characterize, and analyze the scenario of a blackout in the case of a power system with
massive renewable energy (PSMRE), including extreme weather events arising from climate change
under present and future projections, realistic electrotechnical and field knowledge, inherent grid
complexity including interactions with other critical infrastructures, economics, and societal
impact models.
* Propose a quantitative and systemic framework to optimize the resilience of a PSMRE. We
specifically address possible remedial solutions in the design and operational phases to maximize
the system's resilience against major blackouts.
Mission confiée
The recruited person will propose models and algorithms for several variants of network grid design involving climatic events, and socio-economic impact.
Principales activités
Activities
* Reading technical and scientific documentation
* Write a report including a summary of the documentation
* Collecting data sets and implementing a pipeline for assessing the quality of the models
* Write and implement models based on the literature for variants of the problem
* Run computational experiments based on the models and the generated data
Compétences
Operations research
Combinatorial optimization
C++ / Python
Avantages
* Restauration subventionnée
* Transports publics remboursés partiellement
* Possibilité de télétravail et aménagement du temps de travail
* Équipements professionnels à disposition (visioconférence, prêts de matériels informatiques, etc.)
* Prestations sociales, culturelles et sportives (Association de gestion des œuvres sociales d'Inria)
* Accès à la formation professionnelle
* Sécurité sociale
Code d'emploi : Déménageur (h/f)
Domaine professionnel actuel : Employés Chargement et Déchargement
Niveau de formation : Bac+5
Temps partiel / Temps plein : Plein temps
Type de contrat : Contrat à durée indéterminée (CDI)
Compétences : C ++ (Langage de Programmation), Python (Langage de Programmation), Persévérance, Recherche Opérationnelle, Algorithmes, Génie Electrique, Mathématiques Combinatoires, Collecte de Données, Économie, Expérimentation, Énergies Renouvelables, Gestion des Infrastructures, Travail sur Installation Électrique, Simulations, Gestion des Transports, Changement Climatique
Courriel :
Francois.Clautiaux@inria.fr
Téléphone :
0524574000
Type d'annonceur : Employeur direct
