Topology-Aware Physics-Informed Reinforcement Learning for Resilient Operation and Adaptive Restoration of Renewable Integrated Active Distribution Networks
The increasing penetration of photovoltaic generation in active distribution networks (ADNs) introduces significant operational variability and challenges for resilient network restoration. This paper proposes a Topology-Aware Physics-Informed Reinforcement Learning (PIRL) framework for adaptive operation and self-heal...