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

页码：70 / 72

页数：3

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