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Partager le résultat de cette recherche Interroger des sources externesRépartition optimale des puissances utilisant les techniques de l’intelligence artificielle / Abdellah Draidi
Titre : Répartition optimale des puissances utilisant les techniques de l’intelligence artificielle Type de document : texte imprimé Auteurs : Abdellah Draidi, Auteur ; Djamel Labed, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2016 Importance : 126 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
Electro-techniqueTags : réseaux électriques écoulement de puissance prévision de la charge réseau de
neurone logique floue ANFIS power systems load flow load forecast neural networks fuzzy logic أنظمة الطاقة تدفق الطاقة توقعات الاستهلاك الشبكات العصبية المنطق الضبابي .AIndex. décimale : 622 Electro-Technique Résumé : Power grids have been developing following the development of computer systems
and control software, today we are interested in smart grids. The introduction of artificial intelligence techniques in the control and the decision is essential in research and development of modern power systems. neural networks and fuzzy logic are among the techniques most used in the field of artificial intelligence. The optimal power flow is an important element for proper optimal and economical delivery of electrical energy between the production units and the various network loads. Load
forecasting has many applications for power systems, including energy purchasing and generation, load switching, contract evaluation, and infrastructure development.
Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/DRA6920.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10272 Répartition optimale des puissances utilisant les techniques de l’intelligence artificielle [texte imprimé] / Abdellah Draidi, Auteur ; Djamel Labed, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2016 . - 126 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
Electro-techniqueTags : réseaux électriques écoulement de puissance prévision de la charge réseau de
neurone logique floue ANFIS power systems load flow load forecast neural networks fuzzy logic أنظمة الطاقة تدفق الطاقة توقعات الاستهلاك الشبكات العصبية المنطق الضبابي .AIndex. décimale : 622 Electro-Technique Résumé : Power grids have been developing following the development of computer systems
and control software, today we are interested in smart grids. The introduction of artificial intelligence techniques in the control and the decision is essential in research and development of modern power systems. neural networks and fuzzy logic are among the techniques most used in the field of artificial intelligence. The optimal power flow is an important element for proper optimal and economical delivery of electrical energy between the production units and the various network loads. Load
forecasting has many applications for power systems, including energy purchasing and generation, load switching, contract evaluation, and infrastructure development.
Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/DRA6920.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10272 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité DRA/6920 DRA/6920 Thèse Bibliothèque principale Thèses Disponible
Titre : Contribution à la commande directe du couple de la machine asynchrone. Type de document : texte imprimé Auteurs : Riad Toufouti, Auteur ; Hocine Benalla, Directeur de thèse Editeur : Constantine : Université Mentouri Constantine Année de publication : 2008 Importance : 156 p. Format : 30 cm. Note générale : 01 Duisponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. 01 CD Langues : Français (fre) Catégories : Français - Anglais
Electro-techniqueTags : Machines électriques Logique floue Machine asynchrone Onduleur de tension Commande vectorielle(FOC) Commande directe du couple(DTC) Réseaux neurones Induction motor Voltage source inverter Field oriented control (FOC) direct torque control (DTC) Neural network Fuzzy logic آلة اللامتزامنة منوب التوتر التحكم الشعاعي التحكم المباشر في العزم الخلاية العصبية المنطق الغامض Index. décimale : 622 Electro-Technique Résumé :
With the advancement of power electronics and digital technologies command, several control structures for the AC machines were proposed, in order get performance identical to those of the DC machine. Field oriented control (FOC) has been in recent years towards research largest and best suited to industrial requirements. However, this structure remains very sensitive to parameters variations of the machine and requires the establishment of a mechanical sensor. The present study deals with development of a control strategy for induction machines, Able of provide a high dynamic response of electromagnetic torque with robustness against parametric variations No sensor. A direct torque control strategy makes it possible to achieve these goals. Indeed by choosing the right inverter output vectors in a switching table, the stator flux and electromagnetic torque are controlled directly and independently. However, some disadvantages are also present such as, switching frequency is not controlled, the ripple in the torque and stator flux and effect of stator resistance variation in low and medium speed. The main goal of this thesis to introduce different strategies for Improvement of performance of the (DTC). Numerical simulations in Matlab/Simulink Have been implanted for validate the proposed method.Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/TOU5147.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=369 Contribution à la commande directe du couple de la machine asynchrone. [texte imprimé] / Riad Toufouti, Auteur ; Hocine Benalla, Directeur de thèse . - Constantine : Université Mentouri Constantine, 2008 . - 156 p. ; 30 cm.
01 Duisponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. 01 CD
Langues : Français (fre)
Catégories : Français - Anglais
Electro-techniqueTags : Machines électriques Logique floue Machine asynchrone Onduleur de tension Commande vectorielle(FOC) Commande directe du couple(DTC) Réseaux neurones Induction motor Voltage source inverter Field oriented control (FOC) direct torque control (DTC) Neural network Fuzzy logic آلة اللامتزامنة منوب التوتر التحكم الشعاعي التحكم المباشر في العزم الخلاية العصبية المنطق الغامض Index. décimale : 622 Electro-Technique Résumé :
With the advancement of power electronics and digital technologies command, several control structures for the AC machines were proposed, in order get performance identical to those of the DC machine. Field oriented control (FOC) has been in recent years towards research largest and best suited to industrial requirements. However, this structure remains very sensitive to parameters variations of the machine and requires the establishment of a mechanical sensor. The present study deals with development of a control strategy for induction machines, Able of provide a high dynamic response of electromagnetic torque with robustness against parametric variations No sensor. A direct torque control strategy makes it possible to achieve these goals. Indeed by choosing the right inverter output vectors in a switching table, the stator flux and electromagnetic torque are controlled directly and independently. However, some disadvantages are also present such as, switching frequency is not controlled, the ripple in the torque and stator flux and effect of stator resistance variation in low and medium speed. The main goal of this thesis to introduce different strategies for Improvement of performance of the (DTC). Numerical simulations in Matlab/Simulink Have been implanted for validate the proposed method.Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/TOU5147.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=369 Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité TOU/5147 TOU/5147 Thèse Bibliothèque principale Thèses Disponible
