Paper data: Robust market-based battery energy storage management strategy for operation in European balancing markets

This dataset supports the paper “Robust market-based battery energy storage management strategy for operation in European balancing markets” (J. Energy Storage, 2024, doi.org/10.1016/j.est.2024.114082). It contains input data, simulation configuration files, example simulation outputs, and post-processing files used to analyse the operation and economic performance of a battery energy storage system (BESS) providing frequency containment reserve (FCR) and automatic frequency restoration reserve (aFRR). Two historical case studies are covered: Germany (07/2022–06/2023) and Finland (calendar year 2022), together with extreme 6-hour validation scenarios. The dataset includes frequency time series, reserve activation data, market price inputs, simulation settings, and the Excel-based economic assessment model used to generate the results presented in Section 5 of the paper. The simulation software is available at: github.com/flpp-signature/BESS-Simulation