Hierarchical graph reinforcement learning for coordinated dispatch and reconfiguration of active distribution networks
Traditional studies on active distribution networks often optimize operational dispatch and network topology reconfiguration in a decoupled manner, although the two decisions are strongly coupled through power-flow redistribution, controllable-device outputs, and network constraints. This paper develops a problem-speci...