Daily load and flexibility profiles (2030) according to the Slow Progression scenario of the electricity transmission system from Portugal – 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 the full transmission test network of Portugal as in 2030, considering a Slow Progression scenario which represents a lower demand increase and less renewables in the generation. The grid topology has been anonymized and contains 312 nodes, 592 branches and 8 interconnections with Spain. It is operated at 400 kV, 220 kV and 150 kV. There are 299 generators, and a label classifies each of them according to the generation technology type (e.g., Fossil Gas, Wind Onshore, etc.). A network model (MatPower format) including the grid information and considering realistic assumptions for unknown data was built from scratch taking into account the available public data released by the Portuguese TSO as in 2020 and then updated to 2030 conditions. The auxiliary spreadsheet contains the following hourly data: load data, generator status obtained from unit commitment, regulated voltage magnitude setpoint of each generator, transformer tap ratio and aggregated flexibility per consumption node.

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저자 Henrique Teixeira, Nuno Fonseca, Fernando Ribeiro, Leonel Carvalho, André Madureira, Filipe Soares
최종 업데이트 4월 22, 2022, 14:18 (UTC)
생성됨 2월 15, 2022, 12:13 (UTC)
Citation Teixeira, H., Fonseca, N., Ribeiro, F., Carvalho, L., Madureira, A., & Soares, F. (2022). Daily load and flexibility profiles (2030) according to the Slow Progression scenario of the electricity transmission system from Portugal – ATTEST project [Data set]. INESC TEC. https://doi.org/10.25747/AN2D-3695
DOI https://doi.org/10.25747/an2d-3695
dc.Coverage.Spatial Network is geographically located in Portugal.
dc.Coverage.Temporal The network characteristics represent the circumstances of 2030. Load, generation and flexibility data are expressed 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, generation and flexibility profiles. Matlab (with MatPower extension) or Pypower (Python) to test the network.