Conference Proceedings
The International Conference on Emerging Technologies in Electronics, Computing and Communication 2022
(ICETECC`22)
Graph Neural Network Analysis Techniques for Power Flow Analysis
Nabeel Ahmed Khan Tanolli1; Ahmed Raza1; Asif Gulraiz1*;| 1DHA Suffa University |
ABSTRACT
This paper study stability analysis by graph methods for electricity distribution networks. Spanning tree approach is used for modelling grid in terms of graph nodes that represents diverse components of the system and edges that presents flow of power. It examines the issue of stability and more so when the dynamics are nonlinear and have disturbances. The study uses spectral graph theory and Graph Neural Networks (GNNs) to monitor voltage instability, load balancing and fault propagation and to predict powerflow and optimize grid functions using MATLAB and Simulink simulation This demonstrates that graph based approaches offer more robust, scalable and efficient solutions to real-time monitoring, fault detection and grid reliability.