Residual Life Assessment of XLPE Insulated Power Cable Based on Particle Swarm Optimization

During the residual life evaluation process of the cable, since the evaluation factor is the weight value calculation exists, there is a lower accuracy of the evaluation result, and therefore, the residual life assessment system of the micro-gatheter-based algorithm is determined. First, the fault tree analysis method is used, and the evaluation factor is determined from the perspective of electrostaticization and thermochemical, and the evaluation model is constructed, and the aging factor of the cable is determined. Second, the weight value and the adaptation function are calculated by the particle group algorithm, and the input data is normalized. Finally, it is determined to determine the remaining life of the cable in conjunction with different assessment factors. Through example analysis, the research method can obtain the optimal solution adaptation value 1.982 when it is an iteration to 10 times, and in its subsequent process, the optimal solution adaptation value is stable in 1.982, and the method of this article is more Fast acquisition of the best solution adaptation value, improve the efficiency of the surplus life evaluation of the analysis object, determine the weight value of the assessment factor under the measurement of the iterative period, and improve the residual life of the cable.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/hvdc62448.2024.10722946
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
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Residual Life Assessment of XLPE Insulated Power Cable Based on Particle Swarm Optimization

Xin Zhuang, Hanchao Ma, Xiaojun Zhang, Yue Li et al.
High voltage insulation and dielectric phenomena
article

Residual Life Assessment of XLPE Insulated Power Cable Based on Particle Swarm Optimization

Xin Zhuang, Hanchao Ma, Xiaojun Zhang, Yue Li, Zhen Wang, Guoliang Liu
article en

Abstract

During the residual life evaluation process of the cable, since the evaluation factor is the weight value calculation exists, there is a lower accuracy of the evaluation result, and therefore, the residual life assessment system of the micro-gatheter-based algorithm is determined. First, the fault tree analysis method is used, and the evaluation factor is determined from the perspective of electrostaticization and thermochemical, and the evaluation model is constructed, and the aging factor of the cable is determined. Second, the weight value and the adaptation function are calculated by the particle group algorithm, and the input data is normalized. Finally, it is determined to determine the remaining life of the cable in conjunction with different assessment factors. Through example analysis, the research method can obtain the optimal solution adaptation value 1.982 when it is an iteration to 10 times, and in its subsequent process, the optimal solution adaptation value is stable in 1.982, and the method of this article is more Fast acquisition of the best solution adaptation value, improve the efficiency of the surplus life evaluation of the analysis object, determine the weight value of the assessment factor under the measurement of the iterative period, and improve the residual life of the cable.

Inner Mongolia Electric Power (China) (CN)
Responsible consumption and production
Openalex Percentile: Top 88%
High voltage insulation and dielectric phenomena
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Residual Life Assessment of XLPE Insulated Power Cable Based on Particle Swarm Optimization — Xin Zhuang, Hanchao Ma, et al. · (2024) | TGRS Research Map | TGRS