scholarly journals Digital twin and its application to power grid online analysis

Author(s):  
Xinya Song ◽  
Hui Cai ◽  
Teng Jiang ◽  
Steffen Schlegel ◽  
Dirk Westermann

2013 ◽  
Vol 291-294 ◽  
pp. 2212-2216
Author(s):  
Meng Zhang ◽  
Liang HUA Zheng ◽  
Tao Lin ◽  
Hua Long Wang ◽  
Fei Fang

In recent years, with the happening of large-scale power cut accidents, the electric network has been concerned widely increasingly. Pattern recognition which could be used in online analysis, can get rid of the mode limit of the operation characteristic of description system, and its counting volume is less influenced by system scale, also its general assessment is in a fast speed. In this text, it elaborates the conception of the power grid vulnerability and some kinds of available ways of assessing vulnerability, and it also tells us the target of electric network’s integrative vulnerability based on integrative vulnerability mode for electric power grid, and used in pattern recognition, which its the sensibility and necessity of pattern recognition has been verified by the IEEE-39 system.


2013 ◽  
Vol 427-429 ◽  
pp. 2696-2700
Author(s):  
Jing Li ◽  
Ya Di Luo ◽  
Jie Xu ◽  
Yu Pei Jia

This paper construct a large-scale power grid online analysis architecture based on "'Dispatch Cloud' architecture and combined with the power system characteristics and large grid dispatch system online analysis software features, it propose power grid online analysis software wide-area multi-level distributed parallel computing mode based on Dispatch Cloud Platform which is service oriented architecture (SOA). In this mode the coordination manage needed is achieved in the way of service encapsulation based SOA, including, data and model management services, computing resource management services, the job management and parallel computing services, In this mode the coordination manage needed is achieved in the way of service encapsulation based on SOA, including, data and model management services, computing resource management services, the job management and parallel computing services. which will provide theoretical and technical support to the large-scale power grid Online analysis software design and development Using Cloud technology.


2021 ◽  
Author(s):  
Hui Cai ◽  
Xinya Song ◽  
Yuelin Zeng ◽  
Teng Jiang ◽  
Steffen Schlegel ◽  
...  

2021 ◽  
Author(s):  
Wenjuan Niu ◽  
Chen Wu ◽  
Guiyuan Xue ◽  
Jian Tan ◽  
Ciwei Gao ◽  
...  

2021 ◽  
Vol 2136 (1) ◽  
pp. 012029
Author(s):  
He Wang ◽  
Peng Lin ◽  
Zhansheng Hou ◽  
Shijun Sun

Abstract The design, research and development, test, operation and maintenance of power grid substation equipment are relatively independent. Related problems in each link cannot be comprehensively managed from the perspective of the full life cycle of equipment. Operation and maintenance personnel need to face data monitoring, network monitoring, equipment monitoring, business system monitoring, fault diagnosis and repair and other business scenarios. There are many types of information, complex association relationship, abstract and inefficient operation and maintenance information, “man-machine-object” can not be two-way cooperation and interaction, fault diagnosis and troubleshooting difficulties. Digital substation intelligent monitoring operational digital twin applications, digital intelligent substation operations provide operational monitoring service ability, realize the grid digital substation twin modeling and environment reconstruction, false or true merged superposition, two-way coordinated interaction, twin intelligence operations and panoramic visual monitoring, field devices for power grid operation maintenance, resource scheduling, and construction planning to provide guidance, Fully guarantee the safe and reliable operation of power grid equipment, realize the full life cycle management of power grid equipment, and improve the level of intelligence, visualization and digitalization of power grid.


2020 ◽  
Vol 53 (2) ◽  
pp. 13131-13136
Author(s):  
Mike Zhou ◽  
DongHao Feng

Sign in / Sign up

Export Citation Format

Share Document