This paper concerns the problem of optimally scheduling a set of appliances at the end-user premises. The user's energy fee varies over time, and moreover, in the context of smart grids, the user may receive a reward from an energy aggregator if he/she reduces consumption during certain time intervals. In a household, the problem is to decide when to schedule the operation of the appliances, in order to meet a number of goals, namely overall costs, climatic comfort level and timeliness. We devise a model accounting for a typical household user, and present computational results showing that it can be efficiently solved in real-life instances.
Appliance operation scheduling for electricity consumption optimization / Alessandro, Agnetis; Gabriella, Dellino; Paolo, Detti; Innocenti, Giacomo; Gianluca de Pascale, ; Antonio, Vicino. - ELETTRONICO. - (2011), pp. 5899-5904. (Intervento presentato al convegno 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 tenutosi a Orlando, FL; United States nel 12 December 2011 - 15 December 2011) [10.1109/CDC.2011.6160450].
Appliance operation scheduling for electricity consumption optimization
INNOCENTI, GIACOMO;
2011
Abstract
This paper concerns the problem of optimally scheduling a set of appliances at the end-user premises. The user's energy fee varies over time, and moreover, in the context of smart grids, the user may receive a reward from an energy aggregator if he/she reduces consumption during certain time intervals. In a household, the problem is to decide when to schedule the operation of the appliances, in order to meet a number of goals, namely overall costs, climatic comfort level and timeliness. We devise a model accounting for a typical household user, and present computational results showing that it can be efficiently solved in real-life instances.File | Dimensione | Formato | |
---|---|---|---|
CDC2011.pdf
Accesso chiuso
Descrizione: Pre-print
Tipologia:
Altro
Licenza:
Tutti i diritti riservati
Dimensione
303.03 kB
Formato
Adobe PDF
|
303.03 kB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.