Graph Computing and Its Application in Power Grid Analysis

作     者：Mike Zhou Jianfeng Yan Qianhong Wu Mike Zhou;Jianfeng Yan;Qianhong Wu

作者机构：China Electric Power Research InstituteBeijing 100192China 

出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)

年 卷 期：2022年第8卷第6期

页      面：1550-1557页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：supported by National Natural Science Foundation of China under the Grant U1766214 

主　　题：CIM model merge contingency analysis Graph computing in-memory computing network topology processing power grid analysis subgraph processing 

摘      要：Approaches to apply graph computing to power grid analysis are systematically explained using real-world application *** 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 *** algorithms,including network topology processing and subgraph processing,and graph computing application scenarios,including in-memory computing,contingency analysis,and Common Information Model(CIM)model merge,are presented.