D. Voitekh

GRAPH NEURAL NETWORKS FOR POWER FLOW APPROXIMATION ON DISTRIBUTION GRIDS

Context. The growing integration of distributed energy resources (DERs) into power distribution networks demands fast and accurate power flow (PF) analysis for real-time monitoring, state estimation, and optimal dispatch. The Newton-Raphson (NR) method, while robust, becomes computationally expensive when invoked repea...