Power Flow

Power flow analysis determines the steady-state distribution of electricity across a power grid, aiming to optimize generation, transmission, and distribution while ensuring grid stability and reliability. Current research emphasizes developing faster and more accurate power flow models, focusing on machine learning techniques such as graph neural networks (GNNs), Gaussian processes, and various neural network architectures, often incorporating physics-based constraints for improved accuracy and robustness. These advancements are crucial for managing increasingly complex grids with high renewable energy penetration and for improving grid operation, planning, and control, ultimately enhancing grid resilience and efficiency.