典型文献
Graph Computing and Its Application in Power Grid Analysis
文献摘要：
Approaches to apply graph computing to power grid analysis are systematically explained using real-world application examples.Through exploring the nature of the power grid and the characteristics of power grid analysis,the guidelines for selecting appropriate graph computing techniques for the application to power grid analysis are outlined.A custom graph model for representing the power grid for the analysis and simulation purpose and an in-memory computing(IMC)based graph-centric approach with a shared-everything architecture are introduced.Graph algorithms,including network topology processing and subgraph processing,and graph computing ap-plication scenarios,including in-memory computing,contingency analysis,and Common Information Model(CIM)model merge,are presented.
文献关键词：
中图分类号：
作者姓名：
Mike Zhou;Jianfeng Yan;Qianhong Wu
作者机构：
China Electric Power Research Institute,Beijing 100192,China
文献出处：
引用格式：
[1]Mike Zhou;Jianfeng Yan;Qianhong Wu-.Graph Computing and Its Application in Power Grid Analysis)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(06):1550-1557
A类：
B类：
Graph,Computing,Its,Application,Power,Grid,Analysis,Approaches,apply,computing,power,grid,analysis,systematically,explained,using,real,world,application,examples,Through,exploring,nature,characteristics,guidelines,selecting,appropriate,techniques,outlined,custom,model,representing,simulation,purpose,memory,IMC,centric,approach,shared,everything,architecture,introduced,algorithms,including,network,topology,processing,subgraph,scenarios,contingency,Common,Information,Model,CIM,merge,presented
AB值：
0.568731
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