Distribution Fault Location Using Graph Neural Network with Both Node and Link Attributes

This paper proposes a graph neural network (GNN) based approach to locate fault spots within the power distribution systems. The GNN model is extended from graph convolutional networks (GCNs), and includes a set of graph processing layers and followed by a set of dense connected layers. The graph processing layers incorporated with node and link attributes are used to map system topology, bus meas...