Electrical Trees and Their Growth in Silicone Rubber at Various Voltage Frequencies

Yunxiao Zhang, Yuanxiang Zhou, Ling Zhang, Zhongliu Zhou and Qiong Nie
Additional contact information
Yunxiao Zhang: State Key Lab of Electrical Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Yuanxiang Zhou: State Key Lab of Electrical Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Ling Zhang: State Key Lab of Electrical Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Zhongliu Zhou: State Key Lab of Electrical Power System, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Qiong Nie: AC Project Construction Branch, State Grid Corporation of China, Beijing 100052, China

Energies, 2018, vol. 11, issue 2, 1-12

Abstract: The insulation property at high voltage frequencies has become a tough challenge with the rapid development of high-voltage and high-frequency power electronics. In this paper, the electrical treeing behavior of silicone rubber (SIR) is examined and determined at various voltage frequencies, ranging from 50 Hz to 130 kHz. The results show that the initiation voltage of electrical trees decreased by 27.9% monotonically, and they became denser when the voltage frequency increased. A bubble-shaped deterioration phenomenon was observed when the voltage frequency exceeded 100 kHz. We analyze the typical treeing growth pattern at 50 Hz (including pine-like treeing growth and bush-like treeing growth) and the bubble-growing pattern at 130 kHz. Bubbles grew exponentially within several seconds. Moreover, bubble cavities were detected in electrical tree channels at 50 Hz. Combined with the bubble-growing characteristics at 130 kHz, a potential growing model for electrical trees and bubbles in SIR is proposed to explain the growing patterns at various voltage frequencies.

Keywords: silicone rubber; electrical tree; bubble; high frequency; initiation voltage; growing model (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/2/327/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/2/327/ (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:11:y:2018:i:2:p:327-:d:129931

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 ().