Adaptive Multi-Time-Scale Energy Storage Configuration Framework for Hybrid Wind–Solar Power Stations Using Volatility-Aware Dynamic Smoothing
Keywords:
Hybrid Wind–Solar–Storage System, Dynamic Energy Storage Configuration, Renewable Energy Volatility.Abstract
The rapid integration of renewable energy resources such as wind and photovoltaic (PV) systems intomodern smart grids has introduced major operational challenges due to their intermittent and volatile characteristics.The attached articles mainly focus on low-pass filtering-based smoothing control, volatility suppression, tracking planned output, and optimization configuration methods for energy storage systems
References
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H. Kim and D. Lee, “Adaptive Renewable Energy Scheduling Using Reinforcement Learning Techniques,” IEEE Transactions on Smart Grid, vol. 14, no. 5, pp. 3788–3801.
