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As the share of variable renewable energy sources increases in theelectricity mix, new solutions are needed to build a flexible and reliablegrid. Energy arbitrage with battery storage systems supports renewable energyintegration into the grid by shifting demand and increasing the overallutilization of power production systems. In this paper, we propose a mixedinteger linear programming model for energy arbitrage on the day-ahead market,that takes into account operational and availability constraints of assetowners willing to get an additional revenue stream from their storage asset.This approach optimally schedules the charge and discharge operationsassociated with the most profitable trading strategy, and achieves between 80%and 90% of the maximum obtainable profits considering one-year time horizonsusing the prices of electricity in multiple European countries includingGermany, France, Italy, Denmark, and Spain.

Optimal Battery Charge Scheduling For Revenue Stacking Under Operational Constraints Via Energy Arbitrage