Posters

Abstract

The integration of a battery storage system into wind farms addresses key challenges for wind farm developers and operator arising from the temporal mismatch between generation and demand, volatile electricity prices, and the increasing occurrence of negative price periods. Storage systems enable participation in additional markets, such as arbitrage trading and reserve capacity provision, thereby offering opportunities to increase revenues beyond conventional power sales by stand-alone wind farms. However, the optimal dispatch of such wind farm-battery systems is non-trivial, as operators must balance fluctuating wind generation, varying market prices, and grid connection constraints. To address this complexity, an optimization model was developed using the open-source framework oemof. The model applies a linear MILP-based rolling-horizon approach to capture operational dynamics while remaining computationally tractable. It considers market-specific conditions and seasonal variability across a full year. In contrast to the existing research, this approach explicitly integrates multiple market mechanisms and real-world operational constraints. The model structure is designed to comprehensively represent technical and economic interactions relevant for system operation, without introducing unnecessary complexity. A case study was conducted to assess the profitability of battery storage integration under different scenarios, while systematically varying key parameters such as storage size, C-rate, wind generation levels, and price assumptions. The results demonstrate that, under current technical and market conditions, a wind farm–battery system can increase profits compared to a stand-alone wind farm at the same site. Besides site-specific conditions, profitability, however, depends strongly on storage dimensioning and market participation strategies. The analysis further reveals that storage systems create the highest added value when actively engaged across multiple markets, while a green-electricity buffer storage yields significantly lower revenues. Overall, the study provides industry-relevant insights into how optimized dispatch and system design can enable more profitable and resilient renewable energy projects.