Research on Insulation Life Loss of Power Transformer Based on Equivalent Aging

HUANG Xiao-feng; ZHOU Li-jun; WU Guang-ning; ZHAO Ying-feng; DU Qing-quan; ZHAO Hu

doi:10.13296/j.1001-1609.hva.2013.06.018

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Research on Insulation Life Loss of Power Transformer Based on Equivalent Aging

更新时间：2025-04-26

- Research on Insulation Life Loss of Power Transformer Based on Equivalent Aging
- High VoltageApparatus Vol. 49, Issue 6, Pages: 67-71+77(2013)
- 作者机构：
  
  西南交通大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2013.06.018
  CLC： TM406
- Published：2013
- 稿件说明：
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[1]黄晓峰,周利军,吴广宁,赵赢峰,杜清全,赵虎.基于等值老化的变压器绝缘寿命损失研究[J].高压电器,2013,49(06):67-71+77.

HUANG Xiao-feng, ZHOU Li-jun, WU Guang-ning, et al. Research on Insulation Life Loss of Power Transformer Based on Equivalent Aging[J]. High voltageapparatus, 2013, 49(6): 67-71+77.
[1]黄晓峰,周利军,吴广宁,赵赢峰,杜清全,赵虎.基于等值老化的变压器绝缘寿命损失研究[J].高压电器,2013,49(06):67-71+77. DOI： 10.13296/j.1001-1609.hva.2013.06.018.

HUANG Xiao-feng, ZHOU Li-jun, WU Guang-ning, et al. Research on Insulation Life Loss of Power Transformer Based on Equivalent Aging[J]. High voltageapparatus, 2013, 49(6): 67-71+77. DOI： 10.13296/j.1001-1609.hva.2013.06.018.

摘要

电力变压器在长期运行过程中

其内部绝缘会逐渐老化直至寿命终止

在此期间

热点温度是影响变压器绝缘寿命的最关键因素。为此

笔者统计并建立了影响变压器热点温度的两个最重要因素:负载系数及环境温度的变化模型

通过Ornstein-Uhlenbeck过程对这两个因素在变化过程中存在的随机性进行了模拟。最后

基于IEEE负载导则提供的等值老化模型

利用蒙特卡洛法分析讨论了理想与实际情况下变压器绝缘的年寿命损失

由此实现对变压器使用年限的预测。

Abstract

During a power transformer’s service period

the key factor that influences the insulation life of transformer is the hot-spot temperature.In this paper

statistical models of load factor and ambient temperature

which are the two most important parameters influencing the hot-spot temperature

are established.Moreover

the stochastic behaviors of the load factor and ambient temperature are simulated through the Ornstein-Uhlenbeck process.Based on the equivalent aging model from the IEEE loading guide

annual life losses of transformer insulation under both ideal and practical conditions are analyzed via Monte-Carlo simulation to forecast transformer service life.

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Related Institution

Key Laboratory of High Voltage Engineering and Electrical New Technology of the Ministry of Education,Electrical Engineering Department,Chongqing University

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