GPU-OpenCL accelerated probabilistic power flow analysis using Monte-Carlo simulation

被引：26
|
作者：
Abdelaziz, Morad [1 ]
机构：
[1] Univ Laval, Dept Elect & Comp Engn, Quebec City, PQ, Canada
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2017年 / 147卷
关键词：
GPU; Monte-Carlo simulation; Probabilistic power flow; Renewable energy; WIND SPEEDS; SYSTEMS;
D O I：
10.1016/j.epsr.2017.02.022
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper investigates the acceleration of Monte-Carlo (MC) based probabilistic power flow (PPF) analysis by exploiting the massively parallel architecture of graphics processing units (GPUs). (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：70 / 72
页数：3
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