含典型缺陷高压电缆接头温度分布特性模拟

A. A. Bhatti, Bin Yang, Xiaosheng Peng, Zhanran Xia, L. Dong, Hongyu Wang, Qiyou Xu
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引用次数: 5

摘要

电缆接头是电缆中非常复杂和敏感的部分。电缆接头及附件存在缺陷,由于性能、生产、装配、安装不当,导致绝缘系统劣化、劣化。电缆接头的缺陷会导致温度分布的显著升高。一些特定的特征和因素代表了电缆的工作状态和电缆接头的温度行为。然而,电力电缆系统的强度取决于不同的特性,如空腔、介电常数、尺寸和形状以及电缆位置。本文基于传热模型的概念,利用COMSOL软件,结合有限元方法,有效地确定电缆接头的温度分布行为,解决传统热模拟模型的不足。首先,设计了11kV交联聚乙烯(XLPE)和三元乙丙橡胶(EPDM)绝缘电缆接头的等效模型。二是在电缆绝缘中加入典型的人工颗粒,包括空气颗粒、半导体颗粒、金属颗粒、刀割缺陷、针孔缺陷等。第三,对含各种典型颗粒和缺陷的电缆接头进行模拟,考察其温度分布行为。每个粒子的温度分布已分别确定。仿真结果确定了每种颗粒和缺陷的温度分布行为具有不同的响应,温度效应随颗粒和缺陷的变化而变化。
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Simulation of Temperature Distribution Behavior of High Voltage Cable Joints with Typical Defects
The cable joint is a very complex and sensitive part of the electrical cable. Defects in the cable joint and accessories cause deterioration and degradation of the insulation system because of improper performance, production, assembly, and bad installation. The defects in the cable joints may lead significantly to an increase in the temperature distribution. Some specific features and factors represent the cable's working state and the cable joint's temperature behavior. However, the power cable system strength relies on different characteristics such as a cavity, permittivity, size & shape, and cable position. The main purpose of this paper is to determine the temperature distribution behavior of the cable joint effectively and to resolve the shortcoming of the conventional thermal simulation model, based on the concept of heat transfer model and finite element method (FEM) by using COMSOL Software. First, an equivalent model of 11kV cable joint with XLPE and EPDM insulation layers has been designed. Second, the typical artificial particles, including air particles, semiconductor particles, metal particles, knife cut defect, and needle defect, were added to the cable's insulation. Third, the cable joint simulation with each typical particle and defect has been carried out to examine the temperature distribution behavior. The temperature distribution of each particle has been identified individually. The simulation result determines that each particle and defect's temperature distribution behavior has a different response, and the temperature effect change as the particles and defect change.
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