Research on GPU Accelerated Polar Power Flow Calculation

The increasing scale of power systems necessitates corresponding enhancements in the speed and accuracy of power flow calculations. Leveraging the study of Graphics Processing Unit (GPU) architecture, parallel algorithms, and power flow calculation methods, we exploit the high parallelism offered by GPU. In this paper, we optimize the Newton method under traditional polar coordinates to develop parallel programs and utilize Compute Unified Device Architecture (CUDA) for data parallel computing. Simulation results demonstrate that as the number of nodes in the test system increases, our proposed program exhibits more pronounced advantages, effectively improving power flow calculation speed and providing a promising approach for further research in this field.