Impact of heterogeneous cavities on the electrical constraints in the insulation of high-voltage cables

Q3 Engineering Diagnostyka Pub Date : 2023-01-20 DOI:10.29354/diag/159065
Bakri Badis, Hani Benguesmia, Aya Mira, N. M'ziou
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Abstract

The main insulation layer is the most important layer of the high-voltage cable, and the quality of this material directly affects the life of the cable. It is also known that contamination, porosity and associated partial discharges in the insulation can affect the service life of cables. In this paper, we use the COMSOL Multiphysics software, which is based on the finite element method in AC/DC, 2D electrostatic. Our study shows the effect of heterogeneous cavities on the functioning of electrical cables. This work contains the study of electric field distribution and potential of a model of high voltage cable; we took into account the absence and the presence of heterogeneous cavities. The study was conducted using numerical results with mathematical validation. The obtained results are considered satisfactory, favorable and very promising.
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异质空腔对高压电缆绝缘电气约束的影响
主绝缘层是高压电缆最重要的一层,这种材料的好坏直接影响到电缆的使用寿命。众所周知,绝缘中的污染、孔隙度和相关的局部放电会影响电缆的使用寿命。本文采用基于有限元法的COMSOL Multiphysics软件对交流/直流二维静电进行分析。本文研究了非均质空腔对电缆性能的影响。本文研究了高压电缆模型的电场分布和电势;我们考虑了异质腔的存在和不存在。该研究采用数值结果进行,并进行了数学验证。所得结果是令人满意的,有利的,很有希望的。
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来源期刊
Diagnostyka
Diagnostyka Engineering-Mechanical Engineering
CiteScore
2.20
自引率
0.00%
发文量
41
期刊介绍: Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.
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