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Veuillez utiliser cette adresse pour citer ce document :
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/12876
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| Titre: | Model predictive optimization based energy storage system in distributed system |
| Auteur(s): | Riche, Aboubaker
Boutora, Saliha (Supervisor) |
| Mots-clés: | Optimization
Predictive control
Energy storage
Model predictive control (MPC)
Energy storage system |
| Date de publication: | 2023 |
| Editeur: | Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE) |
| Résumé: | The main goal of this project is to develop an MPC controller they will improve the performance of the storage system , by controlling the power flow between the battery energy storage system (BESS) and the supercapacitor (SC).
To accomplish task stressing grid-forming hybrid energy storage systems and the supercapacitor's state of charge (SoC) by simulate rapid load variations and fast photovoltaic (PV) power fluctuations, also developing an MPC controller Is depends to efficient controlling power flow, restore to the SoC of SC after sudden load changes and limits its SoC variation in a predefined range, to ensure the continuous operation of SC.
The performance of the proposed approach is then simulated using MATLAB/Simulink. |
| Description: | 42 p. |
| URI/URL: | http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/12876 |
| Collection(s) : | Power
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