Battery Storage Optimization on the German Continuous Intraday Market: An Experimental Analysis under Consideration of Price Uncertainties

Mathis Wilz; Richard Lackes

doi:10.7250/csimq.2025-45.01

Battery Storage Optimization on the German Continuous Intraday Market: An Experimental Analysis under Consideration of Price Uncertainties

Authors

Mathis Wilz Technische Universität Dortmund, Emil-Figge-Street 61, 44227 Dortmund, Germany https://orcid.org/0009-0005-2818-6817
Richard Lackes Technische Universität Dortmund, Emil-Figge-Street 61, 44227 Dortmund, Germany https://orcid.org/0000-0001-6878-0187

DOI:

https://doi.org/10.7250/csimq.2025-45.01

Keywords:

Continuous Intraday Electricity Market, Genetic Algorithm, Arbitrage Trading, Agent, Battery Storage Optimization, Price Uncertainties

Abstract

This article uses an experimental approach to examine the extent to which price fluctuations influence the profitability of electricity storages operating on the German Continuous Intraday Market. For this reason, we are extending our previous research and analyzing the trade-off between storage capacity and price forecast uncertainty with regard to arbitrage profitability. Using a genetic algorithm, we optimize buy and sell decisions for different battery storage sizes and simulated price forecast uncertainties over the year 2021. Our results show that a storage management strategy generated by the genetic algorithm enables significant arbitrage revenues, which rise in particular with increasing storage capacity. However, with an increasing battery size, decreasing marginal profits are to be expected. Price uncertainties due to forecast errors also reduce the gains, but their influence on profit remains moderate compared to the storage size. The genetic algorithm used provides an intelligent strategy for optimizing storage usage even under uncertain market conditions.

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