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Pilotage distribué de systèmes multi-énergies en réseau

Abstract : A multi-energy system is defined as a set of energy converters allowing the coupling of different energy carriers (gas, elec-tricity, heat, cold, etc.) to meet the demands of production, industrial or agricultural units,or even buildings (housing, work, leisure) for instance. The current literature abounds with case studies demonstrating their significant potential for gains in flexibility and energy efficiency, through the enhancement of synergies between vectors and therefore optimal control. This work contributes to research relating to the problem of the optimized management of the various energy carriers constituting multi-energy systems, for the benefit of the targeted entity. It embraces both the question of modeling and piloting. The formalization of the model is based on the notion of energy hub. Its dynamic behavior is described by a neural state model. In order not to depend on experimental data alone, rarely available in the design phase, the approach relies on the complementarity between multi-physical modeling and neuronal modeling. The first proceeds by interconnection of sub-systems often pre-existing in the ad hoc libraries (cf. general approach of capitalization of multi-physical models). The second proceeds from data, which will be, within the framework of the methodology proposed here, produced by the simulation of the multi-physics model of the system under study. Our reflection here focused on the question of the choice of an adapted neuronal structure, and on that of the choice of learning meta-parameters. The models proposed were then put to the service of piloting, used as internal models of the so-called predictive control or EMPC (Economic Model Predictive Control). The latter indeed complements the overall methodology, in that it makes it possible to manage control compromises, or even optimization of an economic cost. The economic cost can be linked in particular to the relative cost of the various energy supports). The application case considered is that of controlling the energy system of an agricultural greenhouse, comprising electricity, low-and high-temperature heat, CO2 as energy carriers, and natural gas as an energy source. The results obtained show that the methodology developed is applicable and that the use of the advanced control makes it possible to optimize the use of natural gas by optimizing the use of the various equipment of the greenhouse energy system.
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Submitted on : Monday, May 30, 2022 - 3:48:14 PM
Last modification on : Wednesday, June 1, 2022 - 3:32:11 AM


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  • HAL Id : tel-03681888, version 1


Pierre Blaud. Pilotage distribué de systèmes multi-énergies en réseau. Automatique. Ecole nationale supérieure Mines-Télécom Atlantique, 2022. Français. ⟨NNT : 2022IMTA0290⟩. ⟨tel-03681888⟩



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