This paper introduces and evaluates an automated high-frequency trading strategy for battery energy storage systems trading on the intraday market for power while explicitly considering the dynamics of the limit order book, market rules, and technical parameters..
This paper introduces and evaluates an automated high-frequency trading strategy for battery energy storage systems trading on the intraday market for power while explicitly considering the dynamics of the limit order book, market rules, and technical parameters..
Maximizing revenue for grid-scale battery energy storage systems in continuous intraday electricity markets requires strategies that are able to seize trading opportunities as soon as new information arrives. This paper introduces and evaluates an automated high-frequency trading strategy for. .
In one of our last blog posts, we explored how battery energy storage systems (BESS) can be strategically optimized within the spot market, leveraging price fluctuations in Day-Ahead, Intraday Auction, and Intraday Continuous markets to generate revenue. This optimization, often referred to as. .
Utility-scale battery storage in the United States has expanded significantly in recent years, driven by the continued integration of renewable energy resources like wind and solar. In 2025, battery capacity additions are expected to hit a record 18.2 gigawatts (GW), building on the previous year's. .
Platforms like V-Market provide the speed, transparency, and analytical capabilities necessary to capitalize on the opportunities created by battery storage. Key advantages of V-Market in this new era: Real-Time Data and Analytics: Monitor spot prices, intraday volumes, and flexibility assets from. .
In the paper of the participation of multiple types of market members, such as photovoltaics, wind power, and distributed energy storage, in market-based trading, the development of new power systems hinges on strengthening the adaptability of power systems to accommodate various types of market.
