Improving the Efficiency of Grounding System Analysis Using GPU Parallelization

Date Issued
2021-09-21
Author(s)
Velkovski, Bodan
Gjorgievski, Vladimir
Markovska, Marija
Grcev, Leonid
Kalabakov, Stefan
Merdjanovska, Elena
Abstract
Safety analyses of the effectiveness of large grounding systems are often hampered by the lengthy computation times. Using even the simplest image models, the evaluation of touch and step voltages can require from several minutes to several hours of computations on modern CPUs. Our analysis shows that substantial reduction of computation times can be achieved by utilizing GPU parallelization. In this paper we provide basic steps in the implementation of GPU parallelization on the simplest equipotential model for grounding analysis in homogeneous earth, and we test the effectiveness of this approach
in different scenarios.
Subjects

ArrayFire

grounding

parallelization

GPU

step voltages

touch voltages

ground potential rise...

File(s)
Loading...
Thumbnail Image
Name

41 - Improving the Efficiency of Grounding System Analysis Using GPU Parallelization - ETAI 2021.pdf

Size

1.2 MB

Format

Adobe PDF

Checksum

(MD5):ed6cb6cb79a5209cf0f354dc70759d68