| Titre : | Control and energy management of renewable energy system associated a storage system | | Titre original : | Commande et gestion d'énergie d'un système à énergie renouvelable hybride doté d'un systéme stockage | | Type de document : | texte manuscrit | | Auteurs : | Ibrahim Khalil Oubbati, Auteur ; Mohamed Boutoubat, Directeur de thèse ; Abdelhamid Rabhi, Directeur de thèse | | Editeur : | Laghouat : Université Amar Telidji - Département de génie électrique | | Année de publication : | 2021 | | Importance : | 192 p. | | Format : | 27 cm. | | Accompagnement : | 1 disque optique numérique (CD-ROM) | | Note générale : | Option : Signals and system, control of systems | | Langues : | Anglais | | Catégories : | THESES :09 génie électrique
| | Mots-clés : | Integral Sliding Mode Control (ISMC) Derivative Sliding Mode Control (DSMC) PID controller Elevator system Integral Backstepping Sliding Mode Controller (IBSMC) Integral Backstepping controller (IBC) PV MPPT Lyapunov criteria Salp Swarm Algorithm (SSA) Partial Shading Conditions (PSC) Hybrid dynamic system Wind
turbine ,DFIG, Diesel generator, Storage Devices. | | Résumé : | This thesis consists of developing and perfecting an energy device capable of sup-plying electricity to an isolated load (Standalone) and making it autonomous injecting the electrical power in the grid network by using renewable energy sources. The considered multi-source system includes a wind turbine and photovoltaic panels as the main sources, Lithium-Ion batteries for storage, and a diesel generator as a backup source. To contribute to the resolution of energy management problems for hybrid systems and the control of renewable energy conversion chains. Firstly, we have proposed a non-linear controllers to achieve the Maximum Power Point of a PV system. These controllers achieve high dy-namic performances, witch are compared experimentally with linear/non-linear controllers under the same conditions (weather conditions). Secondly, we have proposed to use a non-linear Integral Sliding Mode Controller (ISMC) for a mechanical load powered by a wind turbine based on a Doubly-Fed Induction Generator (DFIG). In this context, state-of-the art PID-based controllers suffer from high ripples in addition to a long settling time, when considering this kind of systems. So, we have proposed to use two approaches to overcome these drawbacks: An Integral Sliding Mode Control (ISMC) and Derivative Sliding Mode Control (DSMC). Both approaches consider the well-known integral and derivative actions in the context of sliding mode theory, allowing to minimize, respectively, the steady-state error and the settling time. The experimental results show that ISMC exhibits better performances when compared to DSMC and State-of-the art PID based controller, in terms of ripples and steady-state error reduction. Besides, a proposed energy management is developed for power reference tracking and power maximization were validated by simulation using data measurements of the hybrid system to generate optimal powers references to ensure the autonomy of the system. | | note de thèses : | Thèse de doctorat en génie électrique |
Control and energy management of renewable energy system associated a storage system = Commande et gestion d'énergie d'un système à énergie renouvelable hybride doté d'un systéme stockage [texte manuscrit] / Ibrahim Khalil Oubbati, Auteur ; Mohamed Boutoubat, Directeur de thèse ; Abdelhamid Rabhi, Directeur de thèse . - Laghouat : Université Amar Telidji - Département de génie électrique, 2021 . - 192 p. ; 27 cm. + 1 disque optique numérique (CD-ROM). Option : Signals and system, control of systems Langues : Anglais | Catégories : | THESES :09 génie électrique
| | Mots-clés : | Integral Sliding Mode Control (ISMC) Derivative Sliding Mode Control (DSMC) PID controller Elevator system Integral Backstepping Sliding Mode Controller (IBSMC) Integral Backstepping controller (IBC) PV MPPT Lyapunov criteria Salp Swarm Algorithm (SSA) Partial Shading Conditions (PSC) Hybrid dynamic system Wind
turbine ,DFIG, Diesel generator, Storage Devices. | | Résumé : | This thesis consists of developing and perfecting an energy device capable of sup-plying electricity to an isolated load (Standalone) and making it autonomous injecting the electrical power in the grid network by using renewable energy sources. The considered multi-source system includes a wind turbine and photovoltaic panels as the main sources, Lithium-Ion batteries for storage, and a diesel generator as a backup source. To contribute to the resolution of energy management problems for hybrid systems and the control of renewable energy conversion chains. Firstly, we have proposed a non-linear controllers to achieve the Maximum Power Point of a PV system. These controllers achieve high dy-namic performances, witch are compared experimentally with linear/non-linear controllers under the same conditions (weather conditions). Secondly, we have proposed to use a non-linear Integral Sliding Mode Controller (ISMC) for a mechanical load powered by a wind turbine based on a Doubly-Fed Induction Generator (DFIG). In this context, state-of-the art PID-based controllers suffer from high ripples in addition to a long settling time, when considering this kind of systems. So, we have proposed to use two approaches to overcome these drawbacks: An Integral Sliding Mode Control (ISMC) and Derivative Sliding Mode Control (DSMC). Both approaches consider the well-known integral and derivative actions in the context of sliding mode theory, allowing to minimize, respectively, the steady-state error and the settling time. The experimental results show that ISMC exhibits better performances when compared to DSMC and State-of-the art PID based controller, in terms of ripples and steady-state error reduction. Besides, a proposed energy management is developed for power reference tracking and power maximization were validated by simulation using data measurements of the hybrid system to generate optimal powers references to ensure the autonomy of the system. | | note de thèses : | Thèse de doctorat en génie électrique |
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