Digital Twin Framework and Its Application to Power Grid Online Analysis

作     者：Mike Zhou Jianfeng Yan Donghao Feng 

作者机构：China Electric Power Research InstituteBeijing 100085China Kedong Electric Power Control System Co.Ltd.Beijing China 

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：2019年第5卷第3期

页      面：391-398页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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

主　　题：Complex event processing digital twin inmemory computing machine learning neural network model parallel computing power grid online analysis 

摘      要：Digital twin(DT)framework is introduced in the context of application for power grid online *** the development process of a new power grid real-time online analysis system,an online analysis digital twin(OADT)has been implemented to realize the new online analysis *** OADT approach is presented and its prominent features are *** presentation,discussion,and performance testing are based on a large-scale grid network model(40K+buses),exported directly from the EMS system of an actual power grid.A plan to apply the OADT approach to digitize power grid dispatching rules is also outlined.