Trap characterization in composite of solid-liquid using dual-level trap model and TSDC method
Source abstract
Abstract
Charge trap is considered to be one of the effective characteristic parameters for qualitatively evaluating the aging status of insulating material. In this paper, the trap characteristics in oil-impregnated paper with different aging types (non-treatment, thermal treatment and electrical treatment) are investigated using a dual-level (shallow and deep energy) trap model based on space charge profiles and thermally stimulated depolarization current (TSDC) data. The simulated results based on the model are well consistent with the experimental results. On the other hand, the TSDC method can acquire much information related to the shallower traps, and the dual–level trap model can obtain much charge dynamics characteristics. It has been observed that thermally aging makes the shallow trap energy become deeper while electrically aging makes it shallower. Moreover, the trap density in oil-impregnated paper increases after aging regardless of thermal or electrical aging.
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Research context
OpenAlex topics: High voltage insulation and dielectric phenomena · Power Transformer Diagnostics and Insulation · Electrostatic Discharge in Electronics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Xi’an Jiaotong University 1 State Key Laboratory of Electrical Insulation and Power Equipment, , Xi’an, 710049, China
University of Southampton 2 School of Electronics and Computer Science, , Southampton, SO17 1BJ, United Kingdom
Funding
National Natural Science Foundation of China · China Scholarship Council · China National Funds for Distinguished Young Scientists
References (19)
Show source-provided references
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