Paper
15 August 2023 Status of power equipment in 10kV distribution network based on digital twin technology
Qiuyu Zhang, Yunfeng Jiang, Kuitao Wang
Author Affiliations +
Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127190Q (2023) https://doi.org/10.1117/12.2685749
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
In order to reduce the response time and missed detection rate of 10kV distribution network power equipment operation status monitoring, a method for 10kV distribution network power equipment operation status monitoring based on digital twinning technology is proposed. Collecting and processing power equipment operation status signals using wireless sensors; Using digital twinning technology, virtual and real mapping is performed on the operation status of power equipment, and a twinning model for the operation status of power equipment is constructed; Using association rules to extract equipment operation status characteristics, the operation status monitoring of power equipment in the 10kV distribution network is realized. The experimental results show that the design method has a short monitoring response time and a low rate of missed detection, and has a good monitoring effect on the operating status of equipment.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiuyu Zhang, Yunfeng Jiang, and Kuitao Wang "Status of power equipment in 10kV distribution network based on digital twin technology", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127190Q (15 August 2023); https://doi.org/10.1117/12.2685749
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Design and modelling

Instrument modeling

Signal processing

Power grids

Sensors

Data modeling

Analytical research

Back to Top