Asynchronous Power Flow on Graphic Processing Units

Abstract

Abstract-Asynchronous iterations can be used to implement fixed-point methods such as Jacobi and Gauss-Seidel on parallel computers with high synchronization costs. However, they are rarely considered in practice due to the low convergence rate. This paper describes an implementation on GPUs of a novel Power Flow analysis model using asynchronous iterations. We present our model for the solution of the Power Flow analysis problem, prove its convergence and evaluate its performance for a GPU execution.

A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization

“…Asynchronous PF algorithms were applied on GPU, which sounds difficult as the efficiency of GPUs depends on synchronicity and hegemony. [112]. Even with the existence of CUDA, many still venture into creating their routines with OpenCL [113] [114] or direct C coding [115] of GPU hardware to fit their needs for PF .…”