摘要
针对扫频阻抗法在变压器绕组变形检测中判据尚不明确,还依赖人员经验的现状。文章结合扫频阻抗谱的基本特性,提出基于扫频阻抗谱辨识的绕组变形智能检测技术,选取的特征参量包括阻抗幅值的极值点、相位过零点、70°相位特征点、相关系数。并通过实验对不同故障状态下的各参量变化进行统计分析,验证扫频阻抗谱的特征参量在检测变压器绕组变形时的有效性。结果表明,所选扫频阻抗谱的特征参量可以很好地识别绕组是否变形以及故障类型。此项研究为我国电力变压器绕组变形故障检测的发展提供参考和借鉴。
In view of the fact that the criterion of sweeping impedance method in transformer winding deformation detection is not clear and depends on the experience of personnel,combining with the fundamental characteristics of sweeping frequency impedance spectroscopy,an intelligent winding deformation detection technology based on sweeping impedance spectrum identification is proposed in this paper.The extreme value point and phase zero-crossing point of impedance amplitude,70°phase characteristic point,and related parameters are selected as characteristic parameters,the statistical analysis of each parameter under different fault states is carried out to verify the effectiveness of the characteristic parameters of sweeping impedance spectrum on detecting transformer winding deformation.As the result,it was shown that the selected characteristic parameter of sweeping impedance spectrum can well identify the deformation or failure type of the winding.This study provides a reference for the development of winding deformation fault detection of power transformers in China.
作者
杨定乾
王建
Yang Dingqian;Wang Jian(Electric Power Research Institute of State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830011,China)
出处
《电测与仪表》
北大核心
2021年第6期195-200,共6页
Electrical Measurement & Instrumentation
基金
国家电网公司科技项目(5230DK17000X)。
关键词
变压器
绕组变形
扫频阻抗法
特征参量
transformer
winding deformation
sweeping impedance method
characteristic parameters
