Machine Learning-Driven Multi-Objective Energy Management and Optimal Power Flow of Grid-Connected Photovoltaic–Battery Energy Storage Systems for Enhanced Grid Resilience and Renewable Energy Integration
Grid-connected photovoltaic-battery energy storage systems face a persistent operational problem because variable photovoltaic generation, fluctuating electricity demand, battery state-of-charge and degradation constraints, and network power-flow requirements must be coordinated simultaneously, while existing research...