Determining the optimal size of energy storage systems for wind farm ramp-rate control

Short-term power fluctuations from grid-connected wind farms pose challenges to grid reliability and stability, particularly in terms of ramp-rate compliance. To address these issues, new regulations require integrating energy storage systems with renewable generators. This paper presents a method for determining the optimal power and energy capacity of storage systems specifically designed to ensure wind farm compliance with ramp-rate constraints. The proposed approach is validated using three strategies originally developed for photovoltaic applications, demonstrating their effectiveness when adapted to wind energy. Validation is based on high-resolution real-world data recorded at 1-second intervals and averaged over 5 s, covering one year at a wind farm in northern Spain with five 3 MW wind turbines. Additionally, the annual cycling degradation of the storage system is analyzed. The effectiveness of the ramp-rate control strategies is further validated through experimental testing on a real system comprising two lithium-ion batteries: a 1 MW/0.39 MWh power battery with a fast response and a 0.7 MW/0.7 MWh energy battery with a slower response but greater autonomy. These batteries are connected to a 3 MW wind turbine, where a commercially available power converter is adapted for use as a battery charger. • A methodology to determine energy storage requirements for wind power ramp-rate control is presented. • Ramp-rate control is simulated for smoothing Wind farm power fluctuations. • Ramp-rate control is validated with real operational data. • Ramp-rate control strategy is validated at a real wind farm with energy storage system.

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Publication Details

Journal
Journal of Energy Storage
Published
2026-03-02
DOI
https://doi.org/10.1016/j.est.2026.121136
Primary Topic
Wind Turbine Control Systems
Type
article
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article

Determining the optimal size of energy storage systems for wind farm ramp-rate control

Luis Marroyo, Julio Pascual, Íñigo de la Parra, Miguel Ängel Sendin García et al.
Journal of Energy Storage
Wind Turbine Control Systems
article

Determining the optimal size of energy storage systems for wind farm ramp-rate control

Luis Marroyo, Julio Pascual, Íñigo de la Parra, Miguel Ängel Sendin García, Javier Marcos
article en

Abstract

Short-term power fluctuations from grid-connected wind farms pose challenges to grid reliability and stability, particularly in terms of ramp-rate compliance. To address these issues, new regulations require integrating energy storage systems with renewable generators. This paper presents a method for determining the optimal power and energy capacity of storage systems specifically designed to ensure wind farm compliance with ramp-rate constraints. The proposed approach is validated using three strategies originally developed for photovoltaic applications, demonstrating their effectiveness when adapted to wind energy. Validation is based on high-resolution real-world data recorded at 1-second intervals and averaged over 5 s, covering one year at a wind farm in northern Spain with five 3 MW wind turbines. Additionally, the annual cycling degradation of the storage system is analyzed. The effectiveness of the ramp-rate control strategies is further validated through experimental testing on a real system comprising two lithium-ion batteries: a 1 MW/0.39 MWh power battery with a fast response and a 0.7 MW/0.7 MWh energy battery with a slower response but greater autonomy. These batteries are connected to a 3 MW wind turbine, where a commercially available power converter is adapted for use as a battery charger. • A methodology to determine energy storage requirements for wind power ramp-rate control is presented. • Ramp-rate control is simulated for smoothing Wind farm power fluctuations. • Ramp-rate control is validated with real operational data. • Ramp-rate control strategy is validated at a real wind farm with energy storage system.

Journal of Energy StorageVol. 154
Universidad Pública de Navarra (UPNA) (ES)
Affordable and clean energy
Openalex Percentile: Top 39%
Wind Turbine Control Systems
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Determining the optimal size of energy storage systems for wind farm ramp-rate control — Luis Marroyo, Julio Pascual, et al. · Journal of Energy Storage (2026) | TGRS Research Map | TGRS