Effects of Frequency and Temperature on Partial Discharge Characterization of Stator Windings

2020 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP) Pub Date : 2020-10-18 DOI:10.1109/CEIDP49254.2020.9437438

Emre Kantar, E. Eberg, S. Hvidsten

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引用次数: 3

Abstract

This paper presents results from laboratory measurements of partial discharge (PD) activity in stator bars taken from a 13-kV/95-MVA hydro generator, after 50 years in service. The main purpose of this work is to characterize the stator mainwall insulation by PD testing with the emphasis on the dependencies on the test voltage frequency and temperature. The tested epoxy-mica based stator bars were taken from the high voltage side of the winding. Non-energized (unused) backup bars were also tested to study the effect of aging on the PD characteristics and to set as a point of reference. The PD characterization was conducted at different frequencies (0.1, 1, and 50 Hz) and temperatures (30, 70, and 130°C) at 8.9 kV (1.2 Uo). The observed frequency and temperature dependencies were discussed using theoretical findings regarding the mechanisms of void degradation and surface conductivity. Also, classification using supervised machine learning was briefly applied to discover patterns in the data as a function of frequency and temperature.

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频率和温度对定子绕组局部放电特性的影响

本文介绍了一台13kv / 95mva水轮发电机运行50年后定子棒局部放电(PD)活度的实验室测量结果。这项工作的主要目的是通过PD测试来表征定子主壁绝缘，重点是测试电压频率和温度的依赖性。所测试的环氧云母基定子棒取自绕组的高压侧。对未通电(未使用)的后备棒也进行了测试，以研究老化对PD特性的影响，并作为参考点。在8.9 kV (1.2 Uo)的不同频率(0.1、1和50 Hz)和温度(30、70和130°C)下进行了PD表征。利用有关孔隙降解和表面电导率机制的理论发现，讨论了观察到的频率和温度依赖性。此外，使用监督机器学习的分类也被简单地应用于发现数据中作为频率和温度函数的模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)

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