电力系统自动化2017，Vol.41Issue(11)：1-7,25,8.
内存计算技术及在电网分析中的应用
In-memory Computing and Its Application to Power System Analysis
摘要
Abstract
The in-memory computing technique and its application in Big Data processing are described first.To address the hard disk and network data I/O bottleneck issues in power system analysis, an in-memory computing technology based power system analysis architecture is proposed.Typical in-memory computing application scenarios in the fast DSA implementation are discussed.A power network modelis used as an example, which is available from the online DSA system currently demonstrated in the national power dispatching center in China.The corresponding performance test results of in-memory computing in large power network analysis are presented.关键词
内存计算/面向对象电网建模/内存数据网格/电网分析Key words
in-memory computing/object oriented power network modeling/in-memory data grid/power system analysis引用本文复制引用
周二专,冯东豪,武志刚..内存计算技术及在电网分析中的应用[J].电力系统自动化,2017,41(11):1-7,25,8.基金项目
国家电网公司"千人计划"专项资助项目(5206001600A3) （5206001600A3）
This work is supported by State Grid Corporation of China under the "Thousand Talents Plan" Special Research Grant (No.5206001600A3). （No.5206001600A3）
