Classification of PD patterns in XLPE cables under various soil conditions using statistical technique

M. Mansor, A. Ghani, P. Ghosh
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引用次数: 9

Abstract

Partial discharge (PD) is identified as a main factor contributing to the insulation deterioration in HV equipment including underground cable. This is the first time an attempt has been made to investigate the effect of soil thermal resistivity on PD activities in underground power cables. In this paper, a detailed experiment has been carried out on a simulated set up to study the effect of various soil conditions on the level of PD in an 11 kV, single core, 240 mm /sup 2/ XLPE cable. The PD parameters are measured with the help of Haefely Trench TE 571, PD measurement system using straight detection method. PD patterns obtained in the form of elliptical waveform are then analysed using statistical techniques. In this paper, the statistical pattern recognition technique has been successfully applied to classify the PD patterns obtained from the experiment under different soil conditions. Thus, classification of PD patterns aims at the recognition of discharges from a particular soil condition. This information is vital for estimating the harmful effect of the thermal property of soil on the level of PD and can lead to decision making like reconditioning of backfill material and adjustment in cable loading.
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用统计方法对不同土壤条件下交联聚乙烯电缆的PD模式进行分类
局部放电是导致包括地下电缆在内的高压设备绝缘劣化的主要因素。这是首次尝试研究土壤热电阻率对地下电力电缆中PD活动的影响。本文在模拟装置上进行了详细的试验,研究了不同土壤条件对11 kV单芯240 mm /sup 2/ XLPE电缆中PD水平的影响。PD参数的测量采用Haefely Trench TE 571, PD测量系统采用直线检测法。然后利用统计技术对椭圆波形形式的局部放电模式进行分析。本文成功地应用统计模式识别技术对不同土壤条件下试验得到的PD模式进行了分类。因此,PD模式的分类旨在识别特定土壤条件下的排放。这些信息对于估计土壤热特性对PD水平的有害影响至关重要,并可导致诸如回填材料修复和电缆加载调整等决策。
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