Name
Abstract | ||
|---|---|---|
This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users. In particular, we use a dynamic pricing strategy, where energy tariffs are function of the overall power demand of customers. We consider two practical cases: (1) a fully distributed approach, where each appliance decides autonomously its own scheduling, and (2) a hybrid approach, where each user must schedule all his appliances. We analyze numerically these two approaches, showing that they are characterized practically by the same performance level in all the considered grid scenarios. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.comcom.2014.11.001 | Computer Communications |
Keywords | DocType | Volume |
Demand management system,Power scheduling,Load-shifting,Game theory,Potential games | Journal | 57 |
ISSN | Citations | PageRank |
0140-3664 | 11 | 0.75 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antimo Barbato | 1 | 43 | 4.62 |
| Antonio Capone | 2 | 1035 | 80.76 |
| Lin Chen | 3 | 181 | 32.00 |
| Fabio Martignon | 4 | 390 | 33.88 |
| Stefano Paris | 5 | 140 | 15.36 |