Paris-Saclay University

Post-doc

Stratégies avancées de contrôle pour les micro-réseaux DC multi-agents // Advanced Multi-Agent Control Strategies for DC Microgrids

마감2025.04.21~2025.04.27 공유하기

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접수 기간
2025.04.21 00:00~2025.04.27 22:00
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Job Information

Organisation/Company: Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes
Research Field: Engineering » Electronic engineering
Researcher Profile: Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)
Country: France
Application Deadline: 27 Apr 2025 - 22:00 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Is the job funded through the EU Research Framework Programme?: Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?: No

L'objectif de cette thèse de doctorat est de développer et de mettre en œuvre des algorithmes de contrôle avancés pour les micro-réseaux à courant continu. Ces micro-réseaux intégreront des sources d'énergie renouvelables, des systèmes de stockage d'énergie lents et rapides, des charges non linéaires et des connexions au réseau de courant alternatif. L'accent sera mis sur la conception de stratégies de contrôle multi-agents et multi-niveaux, évolutives et modulaires, fonctionnant à l'interface entre le contrôle primaire (gestion des convertisseurs de puissance) et le contrôle secondaire (supervision de la gestion de l'énergie).
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The objective of this doctoral research is to develop and implement advanced control algorithms for direct current (DC) microgrids. These microgrids will integrate renewable energy sources, both slow and fast energy storage systems, nonlinear loads, and connections to the alternating current (AC) grid. The focus will be on designing scalable and modular multi-agent, multi-level control strategies that operate at the interface between primary control (managing power converters) and secondary control (overseeing power and energy management).
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Début de la thèse : 01/10/2025

Funding category:

Contrats ED : Programme blanc GS-SIS