Name
Abstract | ||
|---|---|---|
A model for day-ahead scheduling of batteries and branch switches in the low voltage grid, considering forecasts uncertainties, is proposed. The objective is to reduce the energy losses of the distribution lines and avoid critical events such as congestions or over and under-voltages in the local network. Simulations of different day-ahead situations are performed with a modified particle swarm optimisation algorithm. The results show that critical events are avoided and energy self-consumption within the local network is increased. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-20055-8_47 | 14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019) |
Keywords | Field | DocType |
Robust optimisation,Smart grids,Particle swarm optimisation,Network reconfiguration,Energy storage management | Particle swarm optimization,Energy storage,Mathematical optimization,Smart grid,Scheduling (computing),Computer science,Low voltage grid,Local area network,Low voltage,Operation scheduling | Conference |
Volume | ISSN | Citations |
950 | 2194-5357 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Ferrer | 1 | 0 | 0.34 |
| Ferran Torrent | 2 | 7 | 4.34 |
| Joan Colomer | 3 | 13 | 5.21 |
| Joaquím Meléndez | 4 | 111 | 15.29 |