Digital Modeling System for Dynamic Nonlinear Systems of Power Equipment in Digital Grids and 5G

Author:

Li Siming1ORCID,Guo Wei2,Yan Qing3,Wang Guoshi4,Liu Ying5,Zhang Yingbin6,Zeng Zhixiang7

Affiliation:

1. Electrical Engineering, North China Electric Power University, Beijing 100000, China

2. Information Digitization, Changsha University of Technology, Changsha 410000, China

3. Automation, Nanchang University, Nanchang 330000, China

4. Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100000, China

5. Computer Application Technology, Chongqing University of Technology, Chongqing 400000, China

6. Information and Communication, Nanjing Institute of Media, Nanjing 210000, China

7. Computer science and technology, China University of Mining and Technology, Xuzhou 221000, China

Abstract

The digital power grid system is used to maintain stability and to provide a continuous supply of electrical energy to consumers in the event of a power outage or other interruption of service. This is due to their ability to respond quickly in the event of an interruption. However, unpredictable failures and cascading accidents occur regularly, resulting in a blackout that can cause significant disruption to modern life. Furthermore, the rotor angle behavior can indicate the overall synchronism and stability of the complete digital power grid system. The digital dynamic nonlinear system operators can profit economically and technically from implementing protection measures that are appropriately designed and implemented. This study has utilized data transitions over digital power grids, connectivity used in digital power grids, power quality, network congestion, and stability issues as independent variables. However, the digital dynamic nonlinear system has been used as the dependent variable. The data was collected using questionnaires, and the data was collected from various digital power grids and solar system users. The collected data was analyzed by using SEM PLS 3. The reliability of the collected data was tested by Cronbach’s alpha and the values above 0.7. The results indicated that there are significant values between the variables.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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