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Data and code underlying the publication: How battery energy storage impacts grid congestion – An evaluation of the trade-offs between different battery control strategies

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 14 mei 2025

Wat erin zit

The goal of this research was to evaluate the effects of different battery control strategies on battery performance and battery grid impacts. This dataset contains the code and data necessary to simulate power flows on a distribution grid in a rural village in the Netherlands, including interactions with household batteries. The model considers current grid topology, current consumer load and generation profiles, and the potential effects of introducing household batteries to the area. All data has 15-minute timesteps; units are in MW unless indicated otherwise. Includes the following datasets:Electricity grid model parameters, derived from grid topology data (.xlsx file).Average annual load and generation profiles for consumer connections, derived from measurements (.csv files).EPEX electricity market prices (.csv file).Results and data analysis (.xlsm file). Also included is the .py file with the code used to simulate power flows in the grid and battery energy storage systems. A readme file provides additional details and contact information. This work is supported by Hanze University of Applied Sciences and the NO GIMZOS project funded by Topsector Energie - RVO.

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