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Système communicant pour le contrôle et la supervision prédictive de la co-production d’énergie photovoltaïque et éolienne

Abstract : The modeling, management and optimization of renewable energy production systems is currently a challenge to develop the smart city concept. The goal of this thesis is to develop an intelligent and autonomous management system for the control and predictive supervision of the co-production of renewable energies based on smart networked sensors where the optimization is one problematic integration. From experimental measurements, we prove that it is possible to optimally self-manage the electricity production of renewable energy installations according to a combined or superposed approach of predictive models where experimental measurements allowed to refine them. Particularly, we show the useful of the proposed approach for the photovoltaic and wind turbine installations in an urban zone according to real physical parameter measurements (temperature, humidity, etc.). More precisely, this work proposes one predictive model based on the Weibull function of the power production of polycristallins and amorphous PV systems, and one 2,4 kW micro-wind system in a specific urban zone. The proposed method is has been reinforced by the statistical analysis of real measured data by using the Dickey-Fuller (DF), Goldfeld & Quandt (GQ), Durbin Watson (DW) tests and the Engle & Granger’s method. This work has shown the relevance and originality of the models developed for the reliable prediction of energy production from experimental measurements under real conditions and obtained from the GREEN platform. In addition to modeling aspects, this work has also show that it possible to implement technological solutions based on communicating sensors for the collect of physical parameters under real-time supervision IHM given the real time photovoltaic and micro-wind power productions.
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Submitted on : Thursday, April 23, 2020 - 3:54:02 PM
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  • HAL Id : tel-02552438, version 1



Mouhamadou Moustapha Ba. Système communicant pour le contrôle et la supervision prédictive de la co-production d’énergie photovoltaïque et éolienne. Sciences de l'ingénieur [physics]. Université de Lorraine, 2019. Français. ⟨NNT : 2019LORR0226⟩. ⟨tel-02552438⟩



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