GCN-Based Model for Fault Classification in Distribution Networks under Harmonic Distortion
Comparative analyses with convolutional neural network, long-short-term memory, and multi-layer perceptron architectures, demonstrate that the proposed model delivers superior classification performance, particularly under the most stressed condition with 70% photovoltaic penetration and 5% harmonic distortion.