Economic Optimization of Battery Storage for Power Ramp- Rate Control and Energy Arbitrage in PV and Wind Power Systems

With the increasing renewable penetration in electrical grids, high power ramp rates can lead to grid instability. Power ramp-rate control (PRRC) requirements are being implemented in an increasing number of countries, with penalties for non-compliance. While curtailment and power reservation enable ramp-rate control without energy storage, they inherently decrease the grid-injected energy and generation revenue. Battery storage avoids these drawbacks while reducing violations, and can also be used for arbitrage to increase profitability. This study proposes a simulation-based optimization framework to maximize the net present value (NPV) of battery storage integrated into PV, wind, and hybrid PV–wind systems under two distinct penalty schemes. A battery-based PRRC is compared with curtailment and power reserve strategies, revealing that battery storage yields the highest NPV and the fewest ramp-rate violations. Using Spain’s 2025 hourly electricity market prices and current utility-scale battery costs, the system with an LTO (high C-rate) battery-based PRRC under a 10%/min ramp-rate limit achieves an NPV comparable to the unconstrained case. Battery arbitrage under these conditions is not worthwhile, as the NPV improvement is negligible. Under a hypothetical stretched price scenario (average price: 102.9 EUR/MWh; average daily spread: 232.1 EUR/MWh), energy arbitrage using an LFP battery (low C-rate) becomes highly profitable. Relative to the unconstrained baseline, this strategy yields net present value (NPV) improvements of 17% for the wind system and 28% for the hybrid PV–wind system. Furthermore, the NPV for the PV system shifts from −2 million EUR to 6 million EUR, demonstrating that arbitrage viability depends heavily on market price volatility.