This project focuses on the application of Graph Neural Networks (GNNs) for fault localization in smart grid power systems. By leveraging the topological information of the grid, GNNs can effectively model complex relationships between different grid components. The goal is to improve the accuracy and reliability of fault localisation so that the engineers can be appropriately directed to carry out the repairs when faults happen. This approach promises to advance the state-of-the-art in smart grid technology, providing a robust solution for real-time fault management in increasingly complex power systems.