CloudPSS: A high-performance power system simulator based on cloud computing

被引：40

作者：

Song, Yankan ^{[1
,2
]}

Chen, Ying ^{[1
,2
]}

Yu, Zhitong ^{[1
]}

Huang, Shaowei ^{[1
,2
]}

Shen, Chen ^{[1
,2
]}

机构：

[1] Tsinghua Univ, Res Ctr Cloud Simulat & Intelligent Decis Making, EIRI, Chengdu 610000, Peoples R China

[2] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

ENERGY REPORTS | 2020年 / 6卷

基金：

中国国家自然科学基金;

关键词：

Cloud computing; Electromagnetic transients simulation; GPU; Power system; Parallel computing;

D O I：

10.1016/j.egyr.2020.12.028

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：

With the increasing computations in power system simulations, high-performance and cost-effective power system simulator is highly required. In this paper, a cloud-computing based power system simulator, namely CloudPSS, is designed. Based on an open service integrating framework, a self-developed electromagnetic transients (EMT) simulator with an automatic code generator is provided to accelerate EMT simulations using heterogeneous computing devices in the cloud, such as CPU and GPU. Test results show that the CloudPSS platform can achieve significant speedups for both large-scale simulation tasks and multi-scenario tasks. Moreover, benefit from the time-sharing of cloud computing resources, the computational cost can be greatly reduced. (C) 2020 TheAuthors. Published by Elsevier Ltd.

引用

页码：1611 / 1618

页数：8

共 18 条

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