Design of a High-Precision Self-Balancing Potential Transformer Calibrator

Mengjia Li, Feng Zhou (), Jiandong Jiang, Hao Liu, Bo Xiong, Xue Wang and Teng Yao
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Mengjia Li: School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Feng Zhou: China Electric Power Research Insititute, Wuhan 430070, China
Jiandong Jiang: School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Hao Liu: China Electric Power Research Insititute, Wuhan 430070, China
Bo Xiong: China Electric Power Research Insititute, Wuhan 430070, China
Xue Wang: China Electric Power Research Insititute, Wuhan 430070, China
Teng Yao: China Electric Power Research Insititute, Wuhan 430070, China

Energies, 2024, vol. 17, issue 17, 1-18

Abstract: Potential transformers are vital for measuring and protecting the power grid. Their accuracy and reliability directly impact the stability and security of the power system. To address the issues with traditional high-precision potential transformer calibrators, such as cumbersome operation and low efficiency, a high-precision potential transformer calibrator has been developed. The calibrator is based on an embedded system architecture of FPGA and ARM. It uses a high-precision current comparator along with feedback control technology. By monitoring and adjusting the error feedback voltage, it can perform the automated calibration of potential transformers with an accuracy class of 0.0001. The measurement ranges from 0.00001% to 200.0%. This study can be adapted to meet the development needs of modern digital measurement systems.

Keywords: transformer calibrator; current comparator; self-balancing; feedback control; STM32 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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