内存计算技术及在电网分析中的应用
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  • 英文篇名:In-memory Computing and Its Application to Power System Analysis
  • 作者:周二专 ; 冯东豪 ; 武志刚
  • 英文作者:ZHOU Mike;FENG Donghao;WU Zhigang;NARI Group Corporation (State Grid Electric Power Research Institute)(Beijing);School of Electric Power,South China University of Technology;
  • 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
  • 英文关键词:in-memory computing;;object oriented power network modeling;;in-memory data grid;;power system analysis
  • 中文刊名:DLXT
  • 英文刊名:Automation of Electric Power Systems
  • 机构:南瑞集团公司(国网电力科学研究院)(北京);华南理工大学电力学院;
  • 出版日期:2017-06-10
  • 出版单位:电力系统自动化
  • 年:2017
  • 期:v.41;No.609
  • 基金:国家电网公司“千人计划”专项资助项目(5206001600A3)~~
  • 语种:中文;
  • 页:DLXT201711001
  • 页数:8
  • CN:11
  • ISSN:32-1180/TP
  • 分类号:7-13+31
摘要
首先介绍内存计算技术以及其在大数据处理中的应用。针对在电力系统分析中计算性能的磁盘及网络数据I/O瓶颈问题,提出一种基于内存计算技术的电网分析内存计算架构,并讨论了内存计算在快速动态安全评估(DSA)中的典型应用场景。以国调现有在线DSA电网模型(4万节点)为案例,给出了内存计算在大型电网分析中应用的相应性能测试结果。
        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.
引文
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