Plug and Play Wireless Intelligent Temperature Sensing Device and Status Evaluation for Distribution Transformers

A wireless temperature sensing device with a fast installation structure for distribution transformers is proposed in this paper. The device adopts wireless surface acoustic wave technology and differential structure design. In order to prevent device detection circuit failure or degradation, a method based on indirect standard source is proposed for calibrating the circuit error. At the same time, in order to improve the accuracy of frequency estimation for sensor feedback signals, frequency estimation algorithm based on singular value decomposition of feedback signals is carried out. By taking into account key factors such as current, temperature, three-phase imbalance, and equipment service life, combined with the historical operating status of the equipment. A scoring method is adopted to comprehensively evaluate the working status of the distribution transformer. Through testing and on-site practical application, it has proved that the intelligent temperature sensing device for distribution transformers can effectively monitor the temperature of transformer joints and upload monitoring data and assessing results to the distribution IoT management platform.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/ciced63421.2024.10754468
Primary Topic
Advanced Sensor and Control Systems
Type
article
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article

Plug and Play Wireless Intelligent Temperature Sensing Device and Status Evaluation for Distribution Transformers

Kai Gao, Xiangyi Xu, Tianyi Wu
Advanced Sensor and Control Systems
article

Plug and Play Wireless Intelligent Temperature Sensing Device and Status Evaluation for Distribution Transformers

Kai Gao, Xiangyi Xu, Tianyi Wu
article en

Abstract

A wireless temperature sensing device with a fast installation structure for distribution transformers is proposed in this paper. The device adopts wireless surface acoustic wave technology and differential structure design. In order to prevent device detection circuit failure or degradation, a method based on indirect standard source is proposed for calibrating the circuit error. At the same time, in order to improve the accuracy of frequency estimation for sensor feedback signals, frequency estimation algorithm based on singular value decomposition of feedback signals is carried out. By taking into account key factors such as current, temperature, three-phase imbalance, and equipment service life, combined with the historical operating status of the equipment. A scoring method is adopted to comprehensively evaluate the working status of the distribution transformer. Through testing and on-site practical application, it has proved that the intelligent temperature sensing device for distribution transformers can effectively monitor the temperature of transformer joints and upload monitoring data and assessing results to the distribution IoT management platform.

Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced Sensor and Control Systems
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Plug and Play Wireless Intelligent Temperature Sensing Device and Status Evaluation for Distribution Transformers — Kai Gao, Xiangyi Xu, et al. · (2024) | TGRS Research Map | TGRS