Skip to Main content Skip to Navigation
New interface

Optimisation des ressources dans un système énergétique complexe au moyen de modèles fonctionnels

Abstract : In order to face the increasing complexity of the developed systems, this thesis proposes a multi-view methodological approach allowing to accompany the stages of the development cycle of complex systems, including multi-energy systems, from their design to their real time control. A level of arbitration between the different missions of the system is also introduced and enables to test several strategies. This level is illustrated in the case of the electric vehicle with arbitrations between autonomy, vehicle speed and passenger comfort. Functional modeling, on which this work focuses, is the cornerstone of the methodology. This describes in a modular way and through the use of just necessary mathematical models and energy links the behavior of the elements of the system and their interactions. In order to take into account the dynamic response of the elements, their constraints and disturbances, some predictive control algorithms ``PFC'' are developed and implemented within the functional elements. These algorithms are also used to introduce an optimization problem to manage the resources allocation process in a multiple source system. These concepts are applied to the control of a wind farm coupled with a storage unit, taking into account congestion constraints on the electric grid. Finally, the adaptation of this methodology to the optimization of multi-energy systems raises new issues, including the coupling between several energy fields, the consideration of discrete manipulable variables and a conflict between the need for both a high prediction horizon and a fine temporal resolution. To address this issue, the functional model is coupled to two higher levels of optimization that allow to determine respectively the optimal system architecture and the source commitment schedule. This approach is validated on the design and the control of a multi-energy urban network in the town of Bolbec.
Document type :
Complete list of metadata
Contributor : ABES STAR :  Contact
Submitted on : Friday, November 18, 2022 - 2:39:27 PM
Last modification on : Tuesday, November 22, 2022 - 8:25:58 AM


Version validated by the jury (STAR)


  • HAL Id : tel-03860030, version 1


Baptiste Boyer. Optimisation des ressources dans un système énergétique complexe au moyen de modèles fonctionnels. Automatique / Robotique. Université Paris-Saclay, 2022. Français. ⟨NNT : 2022UPASG033⟩. ⟨tel-03860030⟩



Record views


Files downloads