A Novel Method of Parallel Computation for the Whole Scene Test in Power System

Abstract

In this paper, design and implementation of a new parallel computing method based on CUDA (Compute Unified Device Architecture) platform is described in detail. The method includes algorithm of matrix fraction and partial LU decomposition that are used to support parallel computing for simulation of the whole scene test in power system. The paper describes all the steps of algorithm implementation for deploying the software with CUDA technology. And performances are evaluated by test, in which two Jacobi matrix equations of power flow calculation with different dimension are selected as the test case. The results are compared with that of serial computing and MPI (Message Passing Interface). The results show that the method proposed in this paper has better performance of acceleration on CUDA platform, which can support the simulation of the whole scene test on wide-area power grid.