,
98 6.3.1 Identification des pertes dans les smart grids ,
106 6.4.1 Scénarios et paramètres des simulations, p.107 ,
URL : https://hal.archives-ouvertes.fr/in2p3-00010976
,
, Intégration d'un algorithme d'optimisation dans la gestion de l'énergie 115
117 7.2.3 Algorithme d'optimisation génétique modifié (AGM) . 119 7.2.4 Résultats des simulations ,
, Interaction des agents en utilisant un algorithme d'optimisation118
Interactions entre les agents du système, p.120 ,
, , vol.122
, Prix total d'énergie en centimes, nombre de produc-teurs=nombre de consommateurs (scénarios 2, 4 et 6), p.126
, Prix total d'énergie en centimes, nombre de producteurs=la moitié du nombre de consommateurs (scénarios 1, 3 et 5), p.126
Perte d'énergie en kWh, nombre de producteur=nombre de consommateurs (scénarios 2, 4 et 6), p.126 ,
Perte d'énergie en kWh, nombre de producteurs=la moitié du nombre de consommateurs (scénarios 1, 3 et 5), p.126 ,
, Gain de producteurs en centimes, nombre de produc-teurs=nombre de consommateurs (scénarios 2, 4 et 6), p.127
, Gain de producteurs en centimes, nombre de producteurs=la moitié du nombre de consommateurs (scénarios 1, 3 et 5), p.127
, Nombre d'itérations quand le nombre de produc-teurs=nombre de consommateurs (scénarios 2, 4 et 6), p.127
, Nombre d'itérations quand le nombre de producteurs=la moitié du nombre de consommateurs (scénarios 1, 3 et 5), p.128
Prix de l'énergie pour les scénarios 1 et 2, p.132 ,
, Quantité d'énergie non satisfaite pour les scénarios 1 et 2, p.132
115 7.2 Optimisation de l'achat de l'énergie, p.119 ,
, , vol.124
, 3.2 Proposition de gestion de l
, , p.133
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A storage-based scheme for distributed energy management in the smart grids, Journal of Computer Science and Technology ,
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