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Contribution aux méthodes de conception et de gestion des systèmes énergétiques multi-sources par optimisation systémique : application aux trains hybrides électrique autonomes

Abstract : In France, there are two traction modes for railway: the diesel and electric traction. Each mode has its own issues. For diesel, the increasing control of the greenhouse gas emissions imposes to evolve this type of train to a less polluting solution. For electric traction, the energy consumption creates a voltage drop which can cause a traffic slowdown, which will limit the traffic development. The studied solution by SNCF is the hybridization of the train (adding storage system).Thus, these works have the objective to build a method to do the pre-sizing of storage systems embedded in trains. Moreover, to take into account the mutual influence of the sizing and the energy management, this last one is included in the sizing model. An optimization algorithm solves the global model.The method has been developed for the two traction modes (diesel and electric) and the optimization has been made with SQP algorithm (Sequential Quadratic Programming).
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Marie Poline. Contribution aux méthodes de conception et de gestion des systèmes énergétiques multi-sources par optimisation systémique : application aux trains hybrides électrique autonomes. Energie électrique. Université Grenoble Alpes, 2018. Français. ⟨NNT : 2018GREAT099⟩. ⟨tel-02124030⟩

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