Journal
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
Volume 30, Issue 1, Pages 238-246Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TDEI.2022.3217425
Keywords
Aging; Power cables; Power cable insulation; Analytical models; Finite element analysis; Mathematical models; Computational modeling; Finite-element method (FEM); insulation aging; molecular dynamics (MD) simulation; multiscale analysis
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In this article, a multiscale simulation method is used to analyze the aging mechanism of cable insulation and reveal the variation law of aging characteristics. The study finds that tiny molecular products resulting from thermal and electrical aging are the main factors causing changes in dielectric constant and electrical conductivity. The multiscale analysis method improves the efficiency of cable insulation aging analysis, providing a theoretical basis and data support for cable fault diagnosis and remaining useful life prediction.
Cables, transmitting both power and signal, are essential in electric power systems. Due to the combined effect of electromagnetic and thermal fields, cable insulation aging starts from the destruction of polymer molecular structure and deteriorates in the form of insulation defects, resulting in the degradation of cables eventually. In this article, multiscale simulation is implemented to comprehensively analyze the insulation aging mechanism and reveal the variation law of aging characteristics. Regarding multiscales, by molecular dynamics (MD) simulation and finite-element method (FEM), the material and electrical parameters are calculated and quantitatively analyzed. According to the findings, tiny molecular products resulting from thermal and electrical aging are the main causes of dielectric constant and electrical conductivity variations. Field distribution inside the cable is distorted due to the degradation of material parameters, thus changing power loss and electrical parameters. The multiscale analysis method in this article can make the cable insulation aging analysis more time- and resource-efficient, providing the theoretical basis and data support for cable fault diagnosis and remaining useful life prediction.
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