dc.contributor.author |
Rached, Isra |
|
dc.contributor.author |
Ammar, Afaf |
|
dc.contributor.other |
Berkouk, El Madjid, Directeur de thèse |
|
dc.contributor.other |
Smaili, Arezki, Directeur de thèse |
|
dc.date.accessioned |
2024-10-09T13:31:40Z |
|
dc.date.available |
2024-10-09T13:31:40Z |
|
dc.date.issued |
2024 |
|
dc.identifier.other |
EP00734 |
|
dc.identifier.uri |
http://repository.enp.edu.dz/jspui/handle/123456789/11014 |
|
dc.description |
Mémoire de Projet de Fin d’Études : Automatique : Alger, École Nationale Polytechnique : 2024 |
fr_FR |
dc.description.abstract |
This thesis presents a comprehensive study on the design, sizing, and control of standalone systems. It begins with the modeling of a photovoltaic generator (PVG) managed by a boost converter to track the Maximum Power Point (MPP) using various techniques such as perturb and observe (P&O) algorithms, fuzzy logic (FL), and Particle Swarm Optimization (PSO). A battery-based storage system is introduced, controlled by a bidirectional DC/DC converter with a PI regulator, along with an integrated Energy Management System (EMS). The thesis also underscores the importance of precise system sizing through the study of a real autonomous solar system, and provides the design and simulation of a complete system powering an AC load. |
fr_FR |
dc.language.iso |
en |
fr_FR |
dc.subject |
Standalone systems |
fr_FR |
dc.subject |
Photovoltaic Generator (PVG) |
fr_FR |
dc.subject |
Boost converter |
fr_FR |
dc.subject |
Maximum Power Point (MPP) |
fr_FR |
dc.subject |
Perturb and Observe (P&O) |
fr_FR |
dc.subject |
Fuzzy logic |
fr_FR |
dc.subject |
Particle Swarm Optimization (PSO) |
fr_FR |
dc.subject |
Bidirectional DC/DC converter |
fr_FR |
dc.subject |
Energy Management System (EMS) |
fr_FR |
dc.subject |
AC load |
fr_FR |
dc.title |
Study of standalone photovoltaic system |
fr_FR |
dc.type |
Thesis |
fr_FR |