A Reinforcement Learning Scheduling Method for Distribution Network Photovoltaic Carrying Capacity for Seasonal Time-series Assessment
High-dimensional continuous controls introduced by photovoltaic (PV) inverters, SVCs, flexible loads, and energy storage make reinforcement-learning scheduling difficult in PV-rich distribution networks. This paper proposes an electrical-structure-guided reinforcement-learning method to improve PV hosting capacity. A s...