Daily profiles (2020) of load of a rural synthetic electricity distribution network from UK – ATTEST project

This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a synthetic UK Distribution network located in a rural area (Exchange St.) as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 6.6 kV, has 66 nodes and 66 branches. The auxiliary load data comprises 1  typical winter day gathering the active and reactive consumption at each node of the network in intervals of 1 hour.

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Author Eduardo Martinez-cesena, Wangwei Kong
Last Updated March 3, 2022, 15:40 (Europe/Lisbon)
Created March 3, 2022, 15:37 (Europe/Lisbon)
Citation Martinez-cesena, E., & Kong, W. (2022). Daily profiles (2020) of load of a rural synthetic electricity distribution network from UK – ATTEST project [Data set]. INESC TEC. https://doi.org/10.25747/RFDE-C940
DOI https://doi.org/10.25747/rfde-c940
dc.Coverage.Spatial Network is geographically located in a rural area.
dc.Coverage.Temporal This dataset was prepared under the framework of the ATTEST project, financed by the European Commission with grant number 864298. The dataset contains information about a synthetic UK Distribution network located in a rural area (Exchange St.) as in 2020. A network file (including grid topology, nodes, generators, consumption, all of which connected by power lines or transformers) and auxiliary files are provided. The network file (MatPower format) includes a “snapshot” or “steady-state” at a given time with a converged power flow solution. The grid, which is operated at 6.6 kV, has 66 nodes and 66 branches. The auxiliary load data comprises 1  typical winter day gathering the active and reactive consumption at each node of the network in intervals of 1 hour.
dc.Created February, 2021
ddi.Software Any text editor to read the network file. Excel to read and operate load and flexibility profiles. Matlab (with MatPower extension) or Pypower (Python) to test the network.