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Auteur Imen Labed |
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Affiner la recherche Interroger des sources externesDispatching economique dans un système de puissance electrique par l'intelligence artificielle / Imen Labed
Titre : Dispatching economique dans un système de puissance electrique par l'intelligence artificielle Type de document : texte imprimé Auteurs : Imen Labed, Auteur ; Djamel Labed, Directeur de thèse Editeur : constantine [Algérie] : Université Constantine 1 Année de publication : 2013 Importance : 127 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles Langues : Français (fre) Catégories : Français - Anglais
Electro-techniqueTags : Modélisation et contrôle des procédés de conversion de l’énergie Dispatching economique l’intelligence artificielle réseaux de neurones artificiels écoulement de puissance Economic dispatch artificial intelligence artificial neural networks load flow التوزيع الاقتصادي الذكاء الاصطناعي الشبكات العصبونية الاصطناعية تدفق الطاقة Index. décimale : 622 Electro-Technique Résumé : The economic dispatch problem is the determination of electric generation levels,in order to minimize the total generation cost
for a defined level of load. It’s a kind of management for electrical energy in the power system in way to operate their generators as economically as possible.
Indeed the main aim of the economic dispatch studies is including all variables having effect on minimization of cost, such as the electrical network topology, type of fuel, load capacity and transmission line losses.
This thesis presents the economic dispatch studies for electrical power systems using two approaches. In the first approach a classical method is used which is the gradient method, whereas, in the second one a method that belongs to the field of artificial intelligence, which is the neural networks method, is used. In both cases system constraints like line losses and generators limits are included. Furthermore, a comparison between the results using the above mentioned methods is carried out at the end of this thesis.
Diplôme : Magistère En ligne : ../theses/electrotec/LAB6422.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9449 Dispatching economique dans un système de puissance electrique par l'intelligence artificielle [texte imprimé] / Imen Labed, Auteur ; Djamel Labed, Directeur de thèse . - constantine [Algérie] : Université Constantine 1, 2013 . - 127 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
Electro-techniqueTags : Modélisation et contrôle des procédés de conversion de l’énergie Dispatching economique l’intelligence artificielle réseaux de neurones artificiels écoulement de puissance Economic dispatch artificial intelligence artificial neural networks load flow التوزيع الاقتصادي الذكاء الاصطناعي الشبكات العصبونية الاصطناعية تدفق الطاقة Index. décimale : 622 Electro-Technique Résumé : The economic dispatch problem is the determination of electric generation levels,in order to minimize the total generation cost
for a defined level of load. It’s a kind of management for electrical energy in the power system in way to operate their generators as economically as possible.
Indeed the main aim of the economic dispatch studies is including all variables having effect on minimization of cost, such as the electrical network topology, type of fuel, load capacity and transmission line losses.
This thesis presents the economic dispatch studies for electrical power systems using two approaches. In the first approach a classical method is used which is the gradient method, whereas, in the second one a method that belongs to the field of artificial intelligence, which is the neural networks method, is used. In both cases system constraints like line losses and generators limits are included. Furthermore, a comparison between the results using the above mentioned methods is carried out at the end of this thesis.
Diplôme : Magistère En ligne : ../theses/electrotec/LAB6422.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=9449 Exemplaires
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Titre : Étude de la modification du transit de puissance lors du couplage des énergies renouvelables sur un réseau de distribution. Type de document : texte imprimé Auteurs : Imen Labed, Auteur ; Djamel Labed, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2019 Importance : 147 f. Format : 30 cm. Note générale : 1 copies imprimées disponibles
Langues : Français (fre) Catégories : Français - Anglais
Electro-techniqueTags : réseau electrique Réseaux de distribution Énergie renouvelable Écoulement de puissance Ferme Éolienne Contrôleur de flux de puissance universel UPFC Machine à apprentissage extrême ELM Distribution systems Renewable energy Power flow Wind Energy Unified
power flow controller UPFC Extreme learning machine ELM شبكات التوزيع الطاقات المتجددة تدفق الطاقة طاقة الرياح المتحكم في تدفق الطاقة العالمي يوبي
اف سي الالة سريعة التعلم أو ال امIndex. décimale : 622 Electro-Technique Résumé : The demand for electric energy has become increasingly enormous, while the rapid growth of electricity production has continued, particularly with regard to renewable energy sources (RES). Recorded RES distribution systems are becoming more important and should play a bigger role in the near future. Connecting RES facilities to distribution networks involves addressing several technical challenges for grid operators, who perceive renewable energies as a source of complications for the electricity system. Congestion is one of the most complicated issues that can arise when integrating renewable energy into the electrical system that cannot be left without treatment. For that, this work examines a corrective method of an overloaded electrical system in the presence of a wind farm integrated in a distribution network, taking into account the cost of congestion. Attempts were done in order to eliminate the overloads and monitor the power flow on the lines using as the first suggestion the UPFC universal power flow controller. The second proposed methodology is the ELM Extreme Learning Machine. This algorithm is extremely fast, having excellent performance in terms of generalization. The fundamental point of this successful study is the relief of congested structures. In addition, other objectives are achieved: improvement of the voltage profile, avoidance of load shedding, reduction of losses and congestion cost. The proposed congestion management methods were tested for an Algerian power system with 22 busbars at the city of Adrar. The results presented in this work were discussed and compared. These results show an improvement in the behavior of the electrical network.
Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/LAB7586.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11144 Étude de la modification du transit de puissance lors du couplage des énergies renouvelables sur un réseau de distribution. [texte imprimé] / Imen Labed, Auteur ; Djamel Labed, Directeur de thèse . - جامعة الإخوة منتوري قسنطينة, 2019 . - 147 f. ; 30 cm.
1 copies imprimées disponibles
Langues : Français (fre)
Catégories : Français - Anglais
Electro-techniqueTags : réseau electrique Réseaux de distribution Énergie renouvelable Écoulement de puissance Ferme Éolienne Contrôleur de flux de puissance universel UPFC Machine à apprentissage extrême ELM Distribution systems Renewable energy Power flow Wind Energy Unified
power flow controller UPFC Extreme learning machine ELM شبكات التوزيع الطاقات المتجددة تدفق الطاقة طاقة الرياح المتحكم في تدفق الطاقة العالمي يوبي
اف سي الالة سريعة التعلم أو ال امIndex. décimale : 622 Electro-Technique Résumé : The demand for electric energy has become increasingly enormous, while the rapid growth of electricity production has continued, particularly with regard to renewable energy sources (RES). Recorded RES distribution systems are becoming more important and should play a bigger role in the near future. Connecting RES facilities to distribution networks involves addressing several technical challenges for grid operators, who perceive renewable energies as a source of complications for the electricity system. Congestion is one of the most complicated issues that can arise when integrating renewable energy into the electrical system that cannot be left without treatment. For that, this work examines a corrective method of an overloaded electrical system in the presence of a wind farm integrated in a distribution network, taking into account the cost of congestion. Attempts were done in order to eliminate the overloads and monitor the power flow on the lines using as the first suggestion the UPFC universal power flow controller. The second proposed methodology is the ELM Extreme Learning Machine. This algorithm is extremely fast, having excellent performance in terms of generalization. The fundamental point of this successful study is the relief of congested structures. In addition, other objectives are achieved: improvement of the voltage profile, avoidance of load shedding, reduction of losses and congestion cost. The proposed congestion management methods were tested for an Algerian power system with 22 busbars at the city of Adrar. The results presented in this work were discussed and compared. These results show an improvement in the behavior of the electrical network.
Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/LAB7586.pdf Format de la ressource électronique : Permalink : index.php?lvl=notice_display&id=11144 Exemplaires
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