Network Dynamic Spatiotemporal Dispatch Based on Multi-Head Graph Attention Reinforcement Learning and Balanced Responsibility
The rapid integration of distributed renewable energy and flexible loads significantly intensifies supply and demand uncertainty in active distribution networks (ADNs), threatening economic and secure grid operations. Existing deep reinforcement learning (DRL) dispatch methods fail to extract spatial features properly,...