Name
Abstract | ||
|---|---|---|
In the development of the electricity grid, Demand Response is a current subject of research for reasons of robustness, efficiency and renewable energy integration. Among the aspects of Demand Response, dynamic pricing is critical, and real-time pricing is a favored way of implementing it. The efficiency of such methods would however rely crucially on the ability and willingness of the end-user to react to varying prices. For this reason, we look at the problem of automatically scheduling the appliances that a user needs to run when the energy price is sent by the provider. We propose a discrete-time formulation for this problem, show how it can be solved by a minimum cut algorithm and compare it with previously proposed techniques. Compared to an exact method requiring a mixed integer programming solver, our approach produces solutions very close to optimal in shorter running times and does not require proprietary software. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ACC.2014.6858981 | American Control Conference |
Keywords | Field | DocType |
domestic appliances,pricing,scheduling,smart power grids,appliance scheduling,demand response,discrete-time formulation,dynamic pricing,electricity grid,energy price,minimum cut algorithm,real-time pricing,renewable energy integration,smart-homes,Building and facility automation,Optimization,Power systems | Mathematical optimization,Fair-share scheduling,Dynamic pricing,Scheduling (computing),Computer science,Minimum cut,Demand response,Control engineering,Real-time computing,Robustness (computer science),Integer programming,Solver | Conference |
ISSN | Citations | PageRank |
0743-1619 | 2 | 0.43 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julien M. Hendrickx | 1 | 772 | 77.11 |
| Raphael M. Jungers | 2 | 26 | 2.63 |
| Guillaume Vankeerberghen | 3 | 2 | 0.43 |
| Laurence A. Wolsey | 4 | 2306 | 244.32 |