University Sétif 1 FERHAT ABBAS Faculty of Sciences
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Auteur Ahmed Sebaihi |
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Titre : Energy routing Type de document : texte imprimé Auteurs : Ahmed Sebaihi, Auteur ; ali Tercha, Auteur Année de publication : 2022 Importance : 1 vol (49 f .) Format : 29cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Informatique
Power systems
Energy tradingIndex. décimale : 004 Informatique Résumé :
Energy from small-scale Distributed Energy Resources (DERs) in households, workplaces, factories, and
other locations is traded between local energy prosumers and consumers in peer-to-peer (P2P) energy trading
system. The rising cost of energy and the finite availability of fossil fuels make it inevitable that distributed
energy, such as renewable energy, will be introduced into the existing supply system in the future.Energy Internet
(EI) is a futuristic evolution of the energy system, conceived as a peer-to-peer energy trading network,
with the characteristics of a futuristic system of diverse prosumers. EI is a model of the information internet
paradigm, with characteristics such as an energy router for managing optimal power and communication. EI
faced some problems such as:Subscriber Matching,Energy Efficient-path and Congestion Management. In this
work, we propose a Q-learning based solution for matching subscribers and shortestpath-based efficient-energy
routing. The new solution is applied in mono and multi-source in addition to multi-path scenarios. The results
obtained show its efficiency in terms of cost and power losses in small and large-scale power energy internet
systems.Côte titre : MAI/0570 En ligne : https://drive.google.com/file/d/1BOT4ZKYgLQKPnGIVUcs4wHmH1amOYYu8/view?usp=share [...] Format de la ressource électronique : Energy routing [texte imprimé] / Ahmed Sebaihi, Auteur ; ali Tercha, Auteur . - 2022 . - 1 vol (49 f .) ; 29cm.
Langues : Français (fre)
Catégories : Thèses & Mémoires:Informatique Mots-clés : Informatique
Power systems
Energy tradingIndex. décimale : 004 Informatique Résumé :
Energy from small-scale Distributed Energy Resources (DERs) in households, workplaces, factories, and
other locations is traded between local energy prosumers and consumers in peer-to-peer (P2P) energy trading
system. The rising cost of energy and the finite availability of fossil fuels make it inevitable that distributed
energy, such as renewable energy, will be introduced into the existing supply system in the future.Energy Internet
(EI) is a futuristic evolution of the energy system, conceived as a peer-to-peer energy trading network,
with the characteristics of a futuristic system of diverse prosumers. EI is a model of the information internet
paradigm, with characteristics such as an energy router for managing optimal power and communication. EI
faced some problems such as:Subscriber Matching,Energy Efficient-path and Congestion Management. In this
work, we propose a Q-learning based solution for matching subscribers and shortestpath-based efficient-energy
routing. The new solution is applied in mono and multi-source in addition to multi-path scenarios. The results
obtained show its efficiency in terms of cost and power losses in small and large-scale power energy internet
systems.Côte titre : MAI/0570 En ligne : https://drive.google.com/file/d/1BOT4ZKYgLQKPnGIVUcs4wHmH1amOYYu8/view?usp=share [...] Format de la ressource électronique : Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité MAI/0570 MAI/0570 Mémoire Bibliothéque des sciences Anglais Disponible
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