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Dimensionnement optimal d’un système hybride hydroélectrique-photovoltaïque-stockage pour une alimentation rurale isolée

Abstract : Access to electrical power is essential for industrial and socio-economic development in every country of the world. In Benin, the issue of the electricity shortage remains a serious concern and arises strongly in rural areas of the country. Furthermore, Benin has an interesting potential in photovoltaics (PV) and hydropower (hydro), but which remains globally under-exploited. This research focuses on Optimal sizing of a Hydroelectric-Photovoltaic-Storage Hybrid System for remote rural power supplying. During this work, we modeled the main components of the hydro-PV-storage hybrid system, such as the penstock, the electromechanical equipment (turbine and generator), the PV generator, the batteries (Bat), the inverters and the converters. Indeed, the modeling and the optimization of the penstock with the genetic algorithm NSGA II allowed to note that the investment cost of the penstock (C_(inv_cond) ) increases with its hydraulic power (P_cond ). P_cond and C_(inv_cond) increase respectively logarithmically and quadratically with the diameter (D_cond ). Likewise, the modeling and optimization of the generator have shown that its total mass increases with its efficiency. As for the modeling of the electromechanical equipment cost, the taking into account of the continental factors allowed to better estimate this cost. The second part of the thesis is devoted to the optimization of different energy sources configurations, such as the hydroelectric plant, PV system, hydro-PV hybrid system and hydro-PV-Bat hybrid system. Two objective functions have been considered: the total generated energy and the energy production cost. The solutions obtained are presented in the form of Pareto front. the energy production cost of the PV system increases linearly with its total generated energy. For the cases of the hydroelectric plant and hydro-PV hybrid system, the solutions are grouped into four categories according to the number of hydropower units: {n_hyd=1,2,3,4}. As for the case of the hydro-PV-Bat hybrid system, the solutions are grouped into two main categories according to the number of batteries: {n_Bat=64,192 }. For n_Bat=64, the solutions are classified in four groups according to n_hyd: {n_hyd=1,2,3 et 4}, whereas for n_Bat=192, we have three cases {n_hyd=2,3 et 4}. The total generated energy and the energy production cost increase with the nominal turbine flow rate Q_(T_n ). Specifically, the compromise between the objective functions is in favour of the total generated energy for n_hyd=1 (the case of the hydroelectric plant), for {n_hyd=1,2} (case of hydro-PV) and for {n_Bat=64 & n_hyd=1 à 4} and {n_Bat=192 & n_hyd=2,3} (case of hydro-PV-Bat). In these cases, it is preferable to increase the total generated energy. On the other hand, the energy production cost is favored in the case of {n_hyd=2,3,4} (for the hydroelectric plant), {n_hyd=3,4} (for hydro-PV) and {n_Bat=192 & n_hyd=4} (for hydro-PV-Bat). Then we will opt for the reduction of the energy production cost.
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Submitted on : Thursday, October 15, 2020 - 10:04:08 AM
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Amèdédjihundé Hypolite Jordâo Hounnou. Dimensionnement optimal d’un système hybride hydroélectrique-photovoltaïque-stockage pour une alimentation rurale isolée. Energie électrique. Université Bourgogne Franche-Comté; Université d'Abomey-Calavi (Bénin), 2019. Français. ⟨NNT : 2019UBFCD033⟩. ⟨tel-02967644⟩

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