This paper presents the design of Power Flow algorithm that has enhanced performance on the Graphics Processing Unit (GPU) using Compute Unified The CUDATM architecture  enables developers to leverage Device Architecture (CUDA). This work investigates the performance of optimized CPU versions of Newton-Raphson (Polar form) and Gauss-Jacobi power flow algorithms, highlights the approach used to reduce the computation time by performing these studies on massively parallel GPU cores. Simulations results demonstrate the significant acceleration of the GPU version compared to its CPU variant, thus reducing processing time making them suitable for real–time online dispatching purposes.
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