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DC Field | Value | Language |
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dc.contributor.author | DAOUALI, MOHAMMED AMINE | - |
dc.contributor.author | DAHOU, NASREDDINE | - |
dc.contributor.author | GHAITAOUI, Touhami / promoteur | - |
dc.date.accessioned | 2022-01-23T10:50:42Z | - |
dc.date.available | 2022-01-23T10:50:42Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | https://dspace.univ-adrar.edu.dz/jspui/handle/123456789/6087 | - |
dc.description | COMMANDE ELECTRIQUE | en_US |
dc.description.abstract | In this topic, we will try to improve the performance and efficiency of the photovoltaic system. The main objective will be to compare two methods from a total of different methods that allow tracking the maximum power point of the photovoltaic generator, in order to determine the best and most effective way in terms of speed in reaching the maximum power point. With less wiggling around. Among the points that have been studied are the simulation of the photovoltaic system that works using the MPPT control system, the simulation of two constant current transformers (BOOST, BUCK) and the use of various MPPT control methods such as P & O and FLOW LOGIC. The results were obtained using Simulink/MATLAB. | en_US |
dc.language.iso | fr | en_US |
dc.publisher | UNIVERSITE AHMED DRAIA- ADRAR | en_US |
dc.subject | Photovoltaic generator | en_US |
dc.subject | Simulation | en_US |
dc.subject | BOOST | en_US |
dc.subject | MPPT | en_US |
dc.subject | FLOW LOGIC | en_US |
dc.subject | BUCK | en_US |
dc.title | Commande d'un système photovoltaïque installé dans un site saharien par Intelligence Artificielle | en_US |
dc.title.alternative | études comparatives avec des commandes conventionnelles | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Mémoires de Master |
Files in This Item:
File | Description | Size | Format | |
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Commande d'un système photovoltaïque installé dans un site saharien par Intelligence Artificielle, étude~0.pdf | 9.49 MB | Adobe PDF | View/Open |
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