A Study on the Enhanced Extraction of Ultra-High-Frequency Signals Induced by Transformer Core Coupling
Zhiqin Ma,
Linglong Cai (),
Dan Zhou,
Aihui Wen,
Shuo Jiang,
Chunyao Lin and
Yuan Wang
Additional contact information
Zhiqin Ma: Guangdong Electric Power Equipment Reliability Key Enterprise Laboratory, Guangzhou 510080, China
Linglong Cai: Guangdong Electric Power Equipment Reliability Key Enterprise Laboratory, Guangzhou 510080, China
Dan Zhou: Guangdong Electric Power Equipment Reliability Key Enterprise Laboratory, Guangzhou 510080, China
Aihui Wen: Guangdong Electric Power Equipment Reliability Key Enterprise Laboratory, Guangzhou 510080, China
Shuo Jiang: Guangdong Electric Power Equipment Reliability Key Enterprise Laboratory, Guangzhou 510080, China
Chunyao Lin: Guangdong Electric Power Equipment Reliability Key Enterprise Laboratory, Guangzhou 510080, China
Yuan Wang: Guangdong Electric Power Equipment Reliability Key Enterprise Laboratory, Guangzhou 510080, China
Energies, 2025, vol. 18, issue 22, 1-15
Abstract:
Partial discharge, as an important indicator of insulation degradation in transformers, is a crucial means of assessing the insulation performance of transformers. The existing broadband pulse current detection is easy to install and has no electrical connection with the detection equipment, but it is susceptible to electromagnetic interference from the external environment. Although ultra-high-frequency detection has good anti-interference performance, the installation of its sensors needs to match the structure of the transformer and cannot be applied to partial discharge detection of transformers in operation. This article proposes a research method for detecting ultra-high-frequency partial discharge based on the induction signal of transformer iron core. A transformer iron core simulation model is established based on the time-domain finite-difference method, and the reliable detection frequency band of the iron core for ultra-high-frequency signals of partial discharge is simulated. At the same time, the optimal extraction method of the induction signal is also simulated and studied. The feasibility and effectiveness of the detection method are verified through partial discharge experiments on a physical 110 kV transformer. The results indicate that the transformer core can be used as an ultra-high-frequency sensor for partial discharge detection in the ultra-high-frequency domain. The ultra-high-frequency partial discharge detection method based on a transformer core induction signal is consistent with conventional pulse current and ultra-high-frequency detection.
Keywords: transformer; grounding current; transformer core; UHF; PD (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: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/18/22/5903/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/22/5903/ (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:18:y:2025:i:22:p:5903-:d:1791076
Access Statistics for this article
Energies is currently edited by Ms. Cassie Shen
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().