Performance Analysis of GPU-Accelerated Fast Decoupled Power Flow Using Direct Linear Solver

被引：0
|
作者：
Huang, Shengjun [1 ,2 ]
Dinavahi, Venkata [1 ]
机构：
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada
[2] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha, Hunan, Peoples R China
来源：
2017 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC) | 2017年
基金：
加拿大自然科学与工程研究理事会;
关键词：
Fast decoupled power flow; graphics processing unit; linear solver; LU decomposition; parallel computing;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Achieving high solution efficiency for alternating current power flow (ACPF) analysis from high-performance computing (HPC) architecture is a leading and important challenge in power system analytics and computation. This paper investigates the performance of the fast decoupled (FD) method, which is based on the direct linear solver and implemented on the graphics processing unit (CPU), for the solution of ACPF. Implementation platforms, linear equations solution strategies, data storage formats, and fill-in reduction algorithms are compared and discussed on five benchmark systems ranging from 300 to 13,659 buses. Within the CPU's compute unified device architecture (CUDA) environment, the shortest ACPF solution time for the largest test case is 0.313s, which is 4.16x faster than its Matlab counterpart.
引用
收藏
页码：31 / 36
页数：6
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