Open AccessParallel Power Flow Computation Trends and Applications: A Review Focusing on GPU
Author(s) -
D. H. Yoon,
Youngsun Han
Publication year - 2020
Publication title -
energies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.598
H-Index - 93
ISSN - 1996-1073
DOI - 10.3390/en13092147
Subject(s) - computation , computer science , parallel computing , power (physics) , graphics , cuda , computational science , general purpose computing on graphics processing units , flow (mathematics) , electric power system , supercomputer , algorithm , computer graphics (images) , mathematics , physics , geometry , quantum mechanics
A power flow study aims to analyze a power system by obtaining the voltage and phase angle of buses inside the power system. Power flow computation basically uses a numerical method to solve a nonlinear system, which takes a certain amount of time because it may take many iterations to find the final solution. In addition, as the size and complexity of power systems increase, further computational power is required for power system study. Therefore, there have been many attempts to conduct power flow computation with large amounts of data using parallel computing to reduce the computation time. Furthermore, with recent system developments, attempts have been made to increase the speed of parallel computing using graphics processing units (GPU). In this review paper, we summarize issues related to parallel processing in power flow studies and analyze research into the performance of fast power flow computations using parallel computing methods with GPU.