Reinforcement-learning-based adaptive energy management strategy for microgrid energy storage systems
High renewable penetration makes microgrid energy management sensitive to uncertain photovoltaic output, wind fluctuation, load variation, electricity price, and battery degradation. Conventional rule-based and model predictive strategies require manually tuned thresholds or accurate forecasts, which limits their adapt...
Feng Long, Shang-Zhi Sun, Min-Zhang Jiang et al.
· International Conference on... · 0 citations