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文章摘要
基于扫频阻抗法辨识的电力变压器绕组变形智能检测技术
Intelligent Detection Technology of Power Transformer Winding Deformation Based on Scanning Impedance Identification
Received:July 01, 2019  Revised:July 01, 2019
DOI:10.19753/j.issn1001-1390.2021.06.028
中文关键词: 变压器  绕组变形  扫频阻抗法  特征参量
英文关键词: Transformer, Winding deformation, Sweeping impedance method, Characteristic parameters
基金项目:
Author NameAffiliationE-mail
Yang Dingqian* State Grid Xinjiang Electric Power Co., Ltd. Institute of Electric Power Science chou2015012@163.com 
wang jian State Grid Xinjiang Electric Power Co., Ltd. Institute of Electric Power Science chou2015012@163.com 
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中文摘要:
      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。本文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。本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。
英文摘要:
      In view of the fact that the criterion of sweep impedance method in transformer winding deformation detection is not clear and depends on the experience of personnel. Fundamental characteristics of sweep frequency impedance spectroscopy are combined, an intelligent winding deformation detection technology based on sweep impedance spectrum identification is proposed, the phase zero crossing point of impedance amplitude, 70 °phase characteristic frequency point, extreme value point and related parameters are used 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 sweep impedance spectrum in detecting transformer winding deformation. As the result, it was shown that the selected characteristic parameter of sweep 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.
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