Evaluation of Moisture Ageing Status of Cross-Linked Polyethylene Insulation in Power Cables at Different Temperatures
|更新时间:2026-05-20
|
Evaluation of Moisture Ageing Status of Cross-Linked Polyethylene Insulation in Power Cables at Different Temperatures
High VoltageVol. 11, Issue 2, (2026)
作者机构:
1. College of Automation and Electronic Engineering, Institute of Advanced Electrical Materials, Qingdao University of Science and Technology,Qingdao,China
2. State Key Laboratory of Electrical, Insulation and Power Equipment, Xi’an Jiaotong University,Xi'an,China
3. State Grid Shandong Electric Power Research Institute,Jinan,China
Wen Luo, Rui Lan, Xingda Li, et al. Evaluation of Moisture Ageing Status of Cross-Linked Polyethylene Insulation in Power Cables at Different Temperatures[J]. High Voltage, 2026, 11(2).
DOI:
Wen Luo, Rui Lan, Xingda Li, et al. Evaluation of Moisture Ageing Status of Cross-Linked Polyethylene Insulation in Power Cables at Different Temperatures[J]. High Voltage, 2026, 11(2).DOI: 10.1049/hve2.70068.
Evaluation of Moisture Ageing Status of Cross-Linked Polyethylene Insulation in Power Cables at Different Temperatures
摘要
Cross-linked polyethylene (XLPE) cables play an important role in power systems to transport electrical energy
and moisture is one of the important predisposing factors for insulation failure in medium and high-voltage cables. In this paper
a temperature-moisture accelerated ageing experiment is designed
and a method for assessing the moisture status of cable insulation is proposed. This is achieved by analysing the frequency-domain dielectric-spectral curves of samples exposed to different levels of moisture and calculating the integral value of the tangent angle of the low-frequency (0.1–1 Hz) dielectric loss as the characteristic parameter. Firstly
according to the principle of time–temperature superposition
the reduced relationship model between ageing time and ageing temperature is established. Secondly
the experimental data are analysed by nonlinear regression method
and the intrinsic relationship between ageing time
temperature
moisture content and ageing characteristic quantity is established
respectively. Based on the above results
the temperature–moisture coupling coefficient is further revised
and the equation of the ageing status of XLPE insulated cables under the two-factor coupling of temperature-dampness is established. Lastly
the accuracy of the model is verified by using laboratory ageing samples and returned cables. The results indicate that the model achieves an accuracy of 95.49% under controlled laboratory conditions. Then the service life of the returned cable is quantitatively analysed
and the calculated results are within the range of the model. This work has important guiding significance for the assessment of ageing status of power cables.
Abstract
Cross-linked polyethylene (XLPE) cables play an important role in power systems to transport electrical energy
and moisture is one of the important predisposing factors for insulation failure in medium and high-voltage cables. In this paper
a temperature-moisture accelerated ageing experiment is designed
and a method for assessing the moisture status of cable insulation is proposed. This is achieved by analysing the frequency-domain dielectric-spectral curves of samples exposed to different levels of moisture and calculating the integral value of the tangent angle of the low-frequency (0.1–1 Hz) dielectric loss as the characteristic parameter. Firstly
according to the principle of time–temperature superposition
the reduced relationship model between ageing time and ageing temperature is established. Secondly
the experimental data are analysed by nonlinear regression method
and the intrinsic relationship between ageing time
temperature
moisture content and ageing characteristic quantity is established
respectively. Based on the above results
the temperature–moisture coupling coefficient is further revised
and the equation of the ageing status of XLPE insulated cables under the two-factor coupling of temperature-dampness is established. Lastly
the accuracy of the model is verified by using laboratory ageing samples and returned cables. The results indicate that the model achieves an accuracy of 95.49% under controlled laboratory conditions. Then the service life of the returned cable is quantitatively analysed
and the calculated results are within the range of the model. This work has important guiding significance for the assessment of ageing status of power cables.
Quantitative Structure–Property Relationship for High Flash Point of Ester Oil Molecules and Its Experimental Verification
Enhancing Hydrophobic Stability of Silicone Rubber Insulators Under High-Voltage Direct Current Stress Through Optimised Nano-Fumed Silica Surface Area: A Dynamic Drop Test Study
Construction and Application of Online Vibration Frequency Response Analysis Method for Converter Transformer Winding
Image Restoration Algorithm and Propagation Mechanism of Partial Discharge Streamer in Oil–Pressboard Insulation Needle–Plate Electrode
Correlated Transient Response of Buried Cables and Lightning Channel Radiation of Return Strokes of Five Rocket-Triggered Lightning Strikes