Molecular simulation calculation and kinetic degradation model for thermal aging of transformer insulation paper

Life assessment of oil-paper insulation systems is critical for the entire power system. Existing aging assessment methods for transformer insulation materials rely on accelerated thermal aging tests in the laboratory, with long aging times at different temperatures and poor consistency of results. In this paper, according to the characteristics of thermal aging of oil-paper insulation by the three factors of temperature, moisture and oxygen, different reaction paths are studied from the perspective of transition state theory, the activation energy and reaction rate of different reaction paths are calculated, and the kinetic life prediction model is constructed and experimentally verified. The results show that the error between the model and the experimental value is less than 6.48%. This method reduces the experimental workload and provides a new idea for life prediction of insulating materials.

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928572
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular simulation calculation and kinetic degradation model for thermal aging of transformer insulation paper

Qiulin Chen, Ran Zhuo, Sicheng Zhao, Ying Wu et al.
Power Transformer Diagnostics and Insulation
article

Molecular simulation calculation and kinetic degradation model for thermal aging of transformer insulation paper

Qiulin Chen, Ran Zhuo, Sicheng Zhao, Ying Wu, Zhiming Huang, Wenlong Xu
article en

Abstract

Life assessment of oil-paper insulation systems is critical for the entire power system. Existing aging assessment methods for transformer insulation materials rely on accelerated thermal aging tests in the laboratory, with long aging times at different temperatures and poor consistency of results. In this paper, according to the characteristics of thermal aging of oil-paper insulation by the three factors of temperature, moisture and oxygen, different reaction paths are studied from the perspective of transition state theory, the activation energy and reaction rate of different reaction paths are calculated, and the kinetic life prediction model is constructed and experimentally verified. The results show that the error between the model and the experimental value is less than 6.48%. This method reduces the experimental workload and provides a new idea for life prediction of insulating materials.

Electric Power Research Institute (US), Chongqing University (CN)
Openalex Percentile: Top 73%
Power Transformer Diagnostics and Insulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Molecular simulation calculation and kinetic degradation model for thermal aging of transformer insulation paper — Qiulin Chen, Ran Zhuo, et al. · (2024) | TGRS Research Map | TGRS