Abstract
Owing to the need for a reliable power supply to prevent unexpected power faults, developing on‐line surveillance and diagnosis technology is crucial. This investigation employs an aging experiment to accelerate insulation aging in a 12.5kV dry‐type current transformer. Three aging indices are investigated, namely maximum discharge, discharge sum and average discharge, and are incorporated using a linear approximation technique to forecast trends in insulation aging. An on‐line simulation is conducted using the measured data to study the feasibility of the proposed linear approximation technique. The results reveal that the average discharge is the most suitable of the three aging indices, and that when the window size is 6, the inaccuracy of the positive half cycle is 12.32 %, while that of negative half cycle is 8.09%. Besides verifying its suitability, the proposed aging index combined with the linear approximation technique will also be proven to be an invaluable reference for the subsequent study of insulation aging.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
