4.8 Article

Online Monitoring for Underground Power Cable Insulation Based on Common-Mode Signal Injection

Journal

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 69, Issue 7, Pages 7360-7371

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2021.3102410

Keywords

Monitoring; Power cables; Power cable insulation; Current measurement; Leakage currents; Aging; Capacitance; Common-mode (CM) signal injection; CM leakage current; online monitoring; principle component analysis (PCA); underground power cable

Funding

  1. National Key R&D Program of China [2018YFB1306102]
  2. National Natural Science Foundation of China [51822705, 51777112]

Ask authors/readers for more resources

An online monitoring method for underground power cable insulation based on common-mode (CM) signal injection is proposed in this article. It provides an estimation of the insulation ageing severity using a feature extraction method.
Online monitoring for underground power cable insulation will lead to early alarms of insulation faults in distribution grids, which has become an urgent need in the industry. However, the existing approaches require complicated monitoring devices, and cannot provide an estimation of insulation ageing severity. A novel online monitoring method for underground power cable insulation based on common-mode (CM) signal injection is proposed in this article. A CM monitoring signal injection device is designed by modifying the secondary side of current transformer in the system, with no need of extra injection voltage source. A monitoring scheme based on CM leakage current measurement at selected monitoring frequencies is proposed and an ageing feature extraction method based on principle component analysis (PCA) is developed which provides an estimation of the insulation ageing severity. Simulations and experiments are conducted, which proves the effectiveness of the proposed device and method under different system operating conditions with different parameters.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available