Research on the State Evaluation Method of Voltage Transformers Based on Cloud-Edge Collaboration (CICED 2024)

Voltage transformers are key devices in power systems, and their state evaluation is crucial for grid reliability and safety. This study introduces a state evaluation method using cloud-edge collaboration technology. It examines the impact of high-voltage access on measurement errors, focusing on secondary signal errors in high-voltage environments. Technologies like high-precision AID conversion, voltage-to-frequency conversion, and optical fiber synchronization enable accurate data acquisition and transmission at the high-voltage end. loT data interaction allows on-site and remote server data integration. By using historical calibration data, the method provides a comprehensive state evaluation of voltage transformers, enhancing measurement accuracy and supporting stable grid operation.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/ciced63421.2024.10753818
Primary Topic
Advanced Decision-Making Techniques
Type
article
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Research on the State Evaluation Method of Voltage Transformers Based on Cloud-Edge Collaboration (CICED 2024)

Jun Lin, Shaoqi Wang, Shanshan Ding, Xinglong Feng et al.
Advanced Decision-Making Techniques
article

Research on the State Evaluation Method of Voltage Transformers Based on Cloud-Edge Collaboration (CICED 2024)

Jun Lin, Shaoqi Wang, Shanshan Ding, Xinglong Feng, Shenhua Wang, Baoliang Cao, Yanlin Song, Shujia Liang, Yuanhong Xu
article en

Abstract

Voltage transformers are key devices in power systems, and their state evaluation is crucial for grid reliability and safety. This study introduces a state evaluation method using cloud-edge collaboration technology. It examines the impact of high-voltage access on measurement errors, focusing on secondary signal errors in high-voltage environments. Technologies like high-precision AID conversion, voltage-to-frequency conversion, and optical fiber synchronization enable accurate data acquisition and transmission at the high-voltage end. loT data interaction allows on-site and remote server data integration. By using historical calibration data, the method provides a comprehensive state evaluation of voltage transformers, enhancing measurement accuracy and supporting stable grid operation.

China Three Gorges University (CN), State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 67%
Advanced Decision-Making Techniques
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