  Efficiently integrating renewable resources into electricity markets is vital
for addressing the challenges of matching real-time supply and demand while
reducing the significant energy wastage resulting from curtailments. To address
this challenge effectively, the incorporation of storage devices can enhance
the reliability and efficiency of the grid, improving market liquidity and
reducing price volatility. In short-term electricity markets, participants
navigate numerous options, each presenting unique challenges and opportunities,
underscoring the critical role of the trading strategy in maximizing profits.
This study delves into the optimization of day-ahead and balancing market
trading, leveraging quantile-based forecasts. Employing three trading
approaches with practical constraints, our research enhances forecast
assessment, increases trading frequency, and employs flexible timestamp orders.
Our findings underscore the profit potential of simultaneous participation in
both day-ahead and balancing markets, especially with larger battery storage
systems; despite increased costs and narrower profit margins associated with
higher-volume trading, the implementation of high-frequency strategies plays a
significant role in maximizing profits and addressing market challenges.
Finally, we modelled four commercial battery storage systems and evaluated
their economic viability through a scenario analysis, with larger batteries
showing a shorter return on investment.
