Aging Rule and Breakdown Voltage Prediction for Insulation of Generator Stator Winding

LIU Hongwen; WANG Ke; MA Yi; QIAN Guochao; ZOU Dexu; XU Xiaowei; PENG Jing; ZHOU Fangrong

doi:10.13296/j.1001-1609.hva.2015.03.018

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Aging Rule and Breakdown Voltage Prediction for Insulation of Generator Stator Winding

更新时间：2025-04-26

- Aging Rule and Breakdown Voltage Prediction for Insulation of Generator Stator Winding
- High VoltageApparatus Vol. 51, Issue 3, Pages: 105-110+116(2015)
- 作者机构：
  
  云南电网有限责任公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2015.03.018
  CLC： TM31
- Published：2015
- 稿件说明：
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[1]刘红文,王科,马仪,钱国超,邹德旭,徐肖伟,彭晶,周仿荣.发电机定子线棒主绝缘老化规律与击穿电压预测研究[J].高压电器,2015,51(03):105-110+116.

LIU Hongwen, WANG Ke, MA Yi, et al. Aging Rule and Breakdown Voltage Prediction for Insulation of Generator Stator Winding[J]. High voltageapparatus, 2015, 51(3): 105-110+116.
[1]刘红文,王科,马仪,钱国超,邹德旭,徐肖伟,彭晶,周仿荣.发电机定子线棒主绝缘老化规律与击穿电压预测研究[J].高压电器,2015,51(03):105-110+116. DOI： 10.13296/j.1001-1609.hva.2015.03.018.

LIU Hongwen, WANG Ke, MA Yi, et al. Aging Rule and Breakdown Voltage Prediction for Insulation of Generator Stator Winding[J]. High voltageapparatus, 2015, 51(3): 105-110+116. DOI： 10.13296/j.1001-1609.hva.2015.03.018.

摘要

击穿电压是表征发电机定子线棒主绝缘老化状态的特征参量

是影响发电机寿命的直接原因

笔者设计了额定电压为8.5 kV的环氧云母绝缘板材并进行加速热老化试验

通过分析主绝缘板材特征参量的变化趋势

结合击穿电压与特征参量有效性判别

得到能有效表征主绝缘击穿电压的实用特征参量组

并采用BP神经网络滚动式预测方式对主绝缘击穿电压预测

结果表明

该特征参数组Qmax、△C、C、△tanδ、tanδ能有效地用于主绝缘击穿电压预测。

Abstract

Breakdown voltage is a characteristic parameter for representing main insulation aging of generator stator bar

and is the direct factor affecting generator service life. In this study

a sample of epoxy mica sheet with rated voltage of 8.5 kV was designed to simulate the insulation system of the 8.5 kV generator stator bar.Accelerated thermal aging experiment at 220 ℃ was conducted to obtain the practical characteristic parameters by analyzing the change trend of the insulation sheet’s characteristic parameters and combining with the validity analysis of breakdown voltage and characteristic parameters. It is shown that the characteristic parameters

Qmax

△C

△tanδ

and tanδ can be used to effectively predict breakdown voltage by means of BP neural networks.

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