A Novel Method for Online Diagnosis of the Aging State of High-Voltage (HV) Cables Based on Impedance Spectroscopy
Yuli Wang,
Benhong Ouyang,
Ge Wang (),
Anzhe Wang and
Jianjun Yuan
Additional contact information
Yuli Wang: China Electric Power Research Institute Co., Ltd., Wuhan 430074, China
Benhong Ouyang: China Electric Power Research Institute Co., Ltd., Wuhan 430074, China
Ge Wang: China Electric Power Research Institute Co., Ltd., Wuhan 430074, China
Anzhe Wang: China Electric Power Research Institute Co., Ltd., Wuhan 430074, China
Jianjun Yuan: China Electric Power Research Institute Co., Ltd., Wuhan 430074, China
Energies, 2025, vol. 18, issue 5, 1-22
Abstract:
In order to facilitate online monitoring of the aging state of high-voltage (HV) cables, a novel method based on impedance spectroscopy has been proposed. Firstly, the method uses the Debye model to restore the dielectric response of the insulating material of the mechanism. Secondly, based on the transmission line equation, a calculation model for the impedance spectroscopy of HV cables was established. Then, the characteristics of impedance spectroscopy under different overall aging and local deterioration states were analyzed. Further, simulation analysis of the influence of factors such as load factor, length, metal resistivity, and geometric parameters on impedance spectroscopy was carried out. Finally, diagnostic criteria were proposed, which are divided into two major categories: known cable parameters and unknown cable parameters. If the geometric parameters are known, the aging state can be determined using the resonance peak values and the resonance peak frequencies. If the geometric parameters are unknown, it is necessary to test impedance spectroscopy using the healthy condition of the cable as the baseline curve. By comparing the impedance spectroscopy of the cable during tests with the baseline curve, the aging development trend of the cable can also be determined.
Keywords: high-voltage cables; online diagnosis; impedance spectroscopy; condition monitoring (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: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/18/5/1128/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/5/1128/ (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:5:p:1128-:d:1599354
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 ().