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Coordination de systèmes multisources pour favoriser la production d’énergie électrique Renouvelable

Lamine Chalal 1
1 MOCIS - Méthodes et Outils pour la Conception Intégrée de Systèmes
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : This thesis is devoted to the supervision of the hybrid power generation system composed of various types of sources including renewable sources and electrochemical storage elements. Chapter I is devoted to the state of the art of supervision of such hybrid systems. In this chapter, the context and the scope of our study are defined and the advantages-disadvantages of each such strategy are presented. Our vision for the supervision of a multi-sources system that integrates sources of renewable resources is presented thereafter. In Chapter II we specify the hybrid system and the models of each component in order to integrate them into a supervision structure. Chapter III deals with the design of a supervisory predictive controller which optimizes the power flow of a renewable hybrid system (solar panels, micro-turbine and battery). Short time predictions of the solar power and the power reference are embedded in the supervisor. The performance index integrates the environmental impact, the cost of fuel, battery cycling and the energy delivery. Simulations and a real-time application of a model-in-the-Loop plant are carried out to illustrate the applicability and electiveness of the proposed supervisory predictive control design. Chapter IV aims to show the generic properties of the proposed supervisory system. In fact, a wind turbine has been added to the hybrid system and the cost function has been modified. The real-time simulations show the effectiveness of the proposed power management system. Then, the turbine is controlled in degraded mode in order to reduce the impact of wind speed fluctuation with respect to the power reference. The cost function has been modified to meet these new requirements. Finally, the potential benefits of considering a dynamic prediction horizon are explained. The variation of the prediction horizon is performed according to the relevance of the predictions of renewable resources. Tested on an experimental platform combining real components and real-time simulation models (Model-in-the-loop), the results show the validity of all the developed concepts.
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Submitted on : Wednesday, March 14, 2018 - 1:26:46 PM
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Lamine Chalal. Coordination de systèmes multisources pour favoriser la production d’énergie électrique Renouvelable. Automatique / Robotique. Université Lille1, Sciences et Technologies, 2013. Français. ⟨tel-01731591⟩



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