Titre :	Energy routing protocol in Energy Internet
Type de document :	texte imprimé
Auteurs :	Guettar, Haithem, Auteur ; Djamila Mechta, Auteur
Importance :	1 vol (36 f .)
Format :	29 cm
Langues :	Français (fre)
Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Congestion management Optimization P2P Distributed energy trading
Index. décimale :	004 - Informatique
Résumé :	The energy internet is a new emerging concept which is mainly associated with peer to peer energy trading in a smart grid power network. This new power system (EI) aims to make the use of energy renewable resources eective and it also supports the bidirectional power and data ow. As any power system, energy internet has faced three main issues; subscriber matching, energy ecient path and congestion management. In this paper, we proposed a grey wolf optimization based on an energy routing algorithm to determine a non-congestion minimum loss path. A subscriber matching was developed to determine which producer/producers should be assigned for each consumer by optimizing the tness, this mechanism provides a solution for both mono and multi- source consumers. For the multi-source consumers an energy moth ames optimization algorithm is proposed to choose the best producers and their energy capacities that satised the consumer's requests , the producers' selection is based on the lowest tness ie; the less coast and less power loss. Finally, simulation results show the eectiveness of the proposed approach.
Côte titre :	MAI/0464
En ligne :	https://drive.google.com/file/d/14wrC8f7laDhOiCMP6k8RcwtZb6jlPvBp/view?usp=shari [...]
Format de la ressource électronique :	pdf

Energy routing protocol in Energy Internet [texte imprimé] / Guettar, Haithem, Auteur ; Djamila Mechta, Auteur . - [s.d.] . - 1 vol (36 f .) ; 29 cm.
Langues : Français (fre)

Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Congestion management Optimization P2P Distributed energy trading
Index. décimale :	004 - Informatique
Résumé :	The energy internet is a new emerging concept which is mainly associated with peer to peer energy trading in a smart grid power network. This new power system (EI) aims to make the use of energy renewable resources eective and it also supports the bidirectional power and data ow. As any power system, energy internet has faced three main issues; subscriber matching, energy ecient path and congestion management. In this paper, we proposed a grey wolf optimization based on an energy routing algorithm to determine a non-congestion minimum loss path. A subscriber matching was developed to determine which producer/producers should be assigned for each consumer by optimizing the tness, this mechanism provides a solution for both mono and multi- source consumers. For the multi-source consumers an energy moth ames optimization algorithm is proposed to choose the best producers and their energy capacities that satised the consumer's requests , the producers' selection is based on the lowest tness ie; the less coast and less power loss. Finally, simulation results show the eectiveness of the proposed approach.
Côte titre :	MAI/0464
En ligne :	https://drive.google.com/file/d/14wrC8f7laDhOiCMP6k8RcwtZb6jlPvBp/view?usp=shari [...]
Format de la ressource électronique :	pdf