EconPapers    
Economics at your fingertips  
 

Improving the Estimation of Partial Discharge Direction Using a Four-Terminal Surface Current Sensor

Yasutomo Otake () and Hiroshi Murase
Additional contact information
Yasutomo Otake: Mitsubishi Electric Corporation, 8-1-1, Tsukaguchi-Honmachi, Amagasaki 661-8661, Japan
Hiroshi Murase: Department of Electrical and Electronics Engineering, Aichi Institute of Technology, 1247, Yachigusa, Yakusa-Cho, Toyota 470-0392, Japan

Energies, 2023, vol. 16, issue 21, 1-13

Abstract: To improve the insulation diagnosis of a medium-voltage (MV) switchgear, we have developed a four-terminal surface current sensor and a method to estimate the direction of partial discharge occurrence. In this method, the accuracy of the direction estimation is improved by referring only to the direct wave, and the error due to noise can be suppressed by calculating the outputs of the four terminals. The experimental results demonstrate that the detection characteristics of the sensor concur well with the theoretical characteristics derived from the detection principle. Additionally, we conducted an experiment using the developed sensor and the new method to detect the surface current generated due to partial discharge occurring in a rectangular enclosure. The results demonstrate that the occurrence direction could be estimated even for a rectangular enclosure. Furthermore, the propagation attenuation of the surface current at the corners of the enclosure was large, exhibiting an attenuation 0.25 times for the worst case. Finally, it was confirmed that noise removal using a wavelet transform could reduce the direction estimation error of the discharge occurrence by approximately half.

Keywords: partial discharge; diagnosis; switchgear; surface current sensor (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: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/21/7389/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/21/7389/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:21:p:7389-:d:1272251

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7389-:d:1272251