Gestion optimisée d'un modèle d'agrégation de flexibilités diffuses

Abstract : The desire to increase the share of renewable energies in the energy mix leads to an increase inshare of volatile and non-controllable energy and makes it difficult to meet the supply-demand balance. A solution to manage anyway theses energies in the current electrical grid is to deploy new energy storage and demand response systems across the country to counter balance under or over production. In order to integrate all these energies systems to the supply and demand balance process, there are gathered together within a virtual flexibility aggregation power plant which is then seen as a virtual power plant. As for any other power plant, it is necessary to compute its production plan. Firstly, we propose in this PhD thesis an architecture and management method for an aggregation power plant composed of any type of energies systems. Then, we propose algorithms to compute the production plan of any types of energy systems satisfying all theirs constraints. Finally, we propose an approach to compute the production plan of the aggregation power plant in order to maximize its financial profit while complying with all the constraints of the grid.
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Thomas Prelle. Gestion optimisée d'un modèle d'agrégation de flexibilités diffuses. Automatique. Ecole des Mines de Nantes, 2014. Français. ⟨NNT : 2014EMNA0177⟩. ⟨tel-01077960⟩

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