Data underlying the publication: Sizing batteries for power flow management in distribution grids
Datacite citation style:
van Someren, Christian (2023): Data underlying the publication: Sizing batteries for power flow management in distribution grids. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4a9dac6d-dd4e-4dc2-a5ba-72e35d86ac93.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2023-11-21 (latest)
version 1 - 2023-10-11
Includes the following datasets:
- The IEEE Test Grid Excel file which is read into the Python model to generate the test grid (.xlsx file).
- Load Patterns used for consumer connections in the Python model, with variable simultaneity (simultaneity % is indicated after the '_' in the file name) (.csv files).
- A generation pattern file used in the Python model. The file is currently filled with 0's, but can be adapted to test decentral generation effects (.csv file).
- The final results and data analysis (.xlsm file).
Also included is the .py file with the code used to simulate power flows in the grid.
history
- 2023-10-11 first online, published, posted
publisher
4TU.ResearchData
organizations
TU Eindhoven, Department of Electrical Engineering
DATA
files (11)
- 2,708 bytesMD5:
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Readme_Data underlying Sizing of batteries for power flow management.txt - 27,503 bytesMD5:
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Battery Sizing Model.py - 354,181 bytesMD5:
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Final Results_05102023.xlsm - 10,815 bytesMD5:
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Generation Pattern.csv - 85,056 bytesMD5:
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IEEE Test Grid.xlsx - 11,915 bytesMD5:
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LoadPattern_30.csv - 11,915 bytesMD5:
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LoadPattern_40.csv - 11,915 bytesMD5:
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LoadPattern_50.csv - 11,915 bytesMD5:
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LoadPattern_60.csv - 11,915 bytesMD5:
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LoadPattern_70.csv - 11,915 bytesMD5:
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LoadPattern_80.csv -
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