Integrated Fault Location Method Using Feeder-Centric Graph Neural Networks for Renewable-Penetrated DC Distribution Networks
This paper proposes a fault location method for DC distribution networks (DCDNs) based on graph neural networks (GNNs), which integrates the fault line selection (FLS) and fault distance estimation (FDE) that are conventionally handled independently. The proposed method focuses on the analysis of feeders, including FLS...