| dc.contributor |
NSERC |
|
| dc.contributor |
Schneider Electric |
|
| dc.contributor |
Hydro-Québec |
|
| dc.contributor |
Anjos, Miguel F. |
|
| dc.creator |
Neves Motta, Vinicius |
|
| dc.creator |
Anjos, Miguel F. |
|
| dc.creator |
Gendreau, Michel |
|
| dc.date |
2022-08-26T14:28:49Z |
|
| dc.date |
2022-09-30T04:15:20Z |
|
| dc.date.accessioned |
2023-02-17T20:25:42Z |
|
| dc.date.available |
2023-02-17T20:25:42Z |
|
| dc.identifier |
Neves Motta, Vinicius; Anjos, Miguel F.; Gendreau, Michel. (2022). Instances for "Optimal Allocation of Demand Response Considering Transmission System Congestion", [dataset]. University of Edinburgh. School of Mathematics. https://doi.org/10.7488/ds/3514. |
|
| dc.identifier |
https://hdl.handle.net/10283/4497 |
|
| dc.identifier |
https://doi.org/10.7488/ds/3514 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/242568 |
|
| dc.description |
Electricity demand response (DR) is the capability of the electricity consumers to adjust their consumption according to the needs of the grid. Demand response is especially important as a means to mitigate the variability in renewable generation. To adequately integrate DR and renewable generation into the grid operations, an intermediary entity called aggregator coordinates the small-scale DR to efficiently allocate these resources and ensure the viability of DR provision. These instances were designed to demonstrate the capabilities of the proposed optimization model to maximise the profit of the aggregator. |
|
| dc.format |
text/plain |
|
| dc.format |
application/matlab-mat |
|
| dc.format |
application/matlab-mat |
|
| dc.format |
application/matlab-mat |
|
| dc.format |
application/matlab-mat |
|
| dc.format |
application/matlab-mat |
|
| dc.format |
application/matlab-mat |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh. School of Mathematics |
|
| dc.relation |
Motta, Vinicius; Anjos, Miguel F; Gendreau, Michel (2022) "Optimal Allocation of Demand Response Considering Transmission System Congestion" (pre-print in press) |
|
| dc.rights |
Creative Commons Attribution 4.0 International Public License |
|
| dc.subject |
Mathematical and Computer Sciences |
|
| dc.title |
Instances for "Optimal Allocation of Demand Response Considering Transmission System Congestion" |
|
| dc.type |
dataset |
|