Next Article in Journal
An Efficient Object Detection Algorithm Based on Compressed Networks
Next Article in Special Issue
A Local Approximation Approach for Processing Time-Evolving Graphs
Previous Article in Journal
Symmetries of Differential Equations in Cosmology
Previous Article in Special Issue
Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Symmetry 2018, 10(7), 234;

Research on Electronic Voltage Transformer for Big Data Background

China Three Gorges University College of Electrical Engineering & New Energy, Yichang 443002, China
Hubei Provincial Collaborative Innovation Center for New Energy Microgrid, China Three Gorges University, Yichang 443002, China
School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
Author to whom correspondence should be addressed.
Received: 27 May 2018 / Revised: 13 June 2018 / Accepted: 17 June 2018 / Published: 21 June 2018
(This article belongs to the Special Issue Emerging Approaches and Advances in Big Data)
Full-Text   |   PDF [2728 KB, uploaded 21 June 2018]   |  


A new type of electronic voltage transformer is proposed in this study for big data background. By using the conventional inverted SF_6 transformer insulation structure, a coaxial capacitor sensor was constructed by designing a middle coaxial electrode between the high-voltage electrode and the ground electrode. The measurement of the voltage signal could be obtained by detecting the capacitance current i of the SF_6 coaxial capacitor. To improve the accuracy of the integrator, a high-precision digital integrator based on the Romberg algorithm is proposed in this study. This can not only guarantee the accuracy of computation, but also reduce the consumption time; in addition, the sampling point can be reused. By adopting the double shielding effect of the high-voltage shell and the grounding metal shield, the ability and stability of the coaxial capacitor divide could be effectively improved to resist the interference of stray electric fields. The factors that affect the coaxial capacitor were studied, such as position, temperature, and pressure, which will influence the value of the coaxial capacitor. Tests were carried out to verify the performance. The results showed that the voltage transformer based on the SF_6 coaxial capacitor satisfies the requirements of the 0.2 accuracy class. This study can promote the use of new high-performance products for data transmission in the era of big data and specific test analyses. View Full-Text
Keywords: electronic voltage transformer; inversed type; SF_6; coaxial capacitor; capacitance divider; voltage transformer electronic voltage transformer; inversed type; SF_6; coaxial capacitor; capacitance divider; voltage transformer

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Li, Z.-H.; Wang, Y.; Wu, Z.-T.; Li, Z.-X. Research on Electronic Voltage Transformer for Big Data Background. Symmetry 2018, 10, 234.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Symmetry EISSN 2073-8994 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top