Establishment of Electrical Equipment on Site Remote Calibration System

Quite a lot of electrical equipment such as MOA arresters cannot undergo periodic calibration in a timely manner due to power supply reliability requirements. To solve the above problems, this article establishes an online calibration system for MOA surge arresters with reverse cancellation injection based on the principle of magnetic force balance, and constructs a remote calibration architecture. The implementation of the above technology enables calibration personnel to obtain on-site calibration data from different locations in the laboratory, effectively solving the problem of inability to calibrate MOA arresters under working conditions and improving calibration efficiency.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/ciycee63099.2024.10846498
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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article

Establishment of Electrical Equipment on Site Remote Calibration System

Bin‐Wu Wang, Xin Qi, Quan Wang, Qiancheng Zhao
Advanced Computational Techniques and Applications
article

Establishment of Electrical Equipment on Site Remote Calibration System

Bin‐Wu Wang, Xin Qi, Quan Wang, Qiancheng Zhao
article en

Abstract

Quite a lot of electrical equipment such as MOA arresters cannot undergo periodic calibration in a timely manner due to power supply reliability requirements. To solve the above problems, this article establishes an online calibration system for MOA surge arresters with reverse cancellation injection based on the principle of magnetic force balance, and constructs a remote calibration architecture. The implementation of the above technology enables calibration personnel to obtain on-site calibration data from different locations in the laboratory, effectively solving the problem of inability to calibrate MOA arresters under working conditions and improving calibration efficiency.

China Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 76%
Advanced Computational Techniques and Applications
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