摘要
准确诊断油纸绝缘的老化状态,对于变压器的寿命评估和实现变压器的状态检修具有非常重要的意义。为此,对油纸绝缘试样进行了电热加速老化实验,并对其进行了介质损耗参量、泄漏电阻、局部放电分布参量和统计参量等非破坏性参量的测量,通过显著性检验,排除了与剩余击穿电压相关性小或是不相关的参量。基于统计学的基本理论,建立了多参数诊断的优化模型,进而建立了油纸绝缘剩余击穿电压的预测模型。结果表明,这种多参量的诊断模型可以提高诊断的准确性,但是参量的选择是非常重要的,如果选择不当,则增加参量不会提高预算准确性。
It is of great significance to diagnose the aging state of oil-paper insulation for residual lifetime assessment and condition based maintenance of power transformers. Consequently, PD parameters, dielectric loss parameter, leakage resistance of oil-paper insulation samples of different aging states were measured. Parameters in slight correlation or no correlation with the residual breakdown voltage of oil-paper insulation were excluded by the significance test. On the basis of statistical theory, a method to quantitatively determine the reliability of multi-parameter diagnosis and to optimize the algorithm of multi-parameter diagnosis was put forward. Then the residual breakdown voltage prediction model of oil paper insulation was set up. Comparison with experimental data shows that multi-parameter prediction model can improve the efficiency of prediction when choosing an appropriate parameters group, however, the quantity of parameters is not ＂the more the better＂. To choose appropriate parameters for assessing insulation condition is important.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2011年第4期910-915,共6页
High Voltage Engineering
基金
教育部高等学校科技创新工程重大项目培育资金项目(707353)
国家重点基础研究发展计划(973计划)(2011CB209404)~~
关键词
多参量诊断
油纸绝缘
剩余击穿电压
参量筛选
局部放电功率
电容率
multiple parameter diagnosis
oil paper insulation
residual breakdown voltage
parameter selection
power of partial discharge
capacitance
