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变压器绕组频率响应数据的图块频点分析法
作者:
作者单位:

(中国电力科学研究院, 北京市 100192)

摘要:

频率响应分析法是诊断电力变压器绕组变形的重要方法。经验丰富的专业人员通过对频率响应数据图谱的定性分析,可以较准确地判断绕组变形。文中首先对频率响应数据的定性分析方法进行了总结;然后根据频率响应数据定性分析的特点,将数学形态学引入频率响应数据分析中,研究了频率响应数据幅值差异的量化分析方法,定义了频点域的概念,将频率响应数据的极值点分为匹配极值点、偏移极值点、缺失极值点和多出极值点,研究了频率响应数据极值点的量化分析方法;最后提出了频率响应数据的图块频点分析法,将频率响应数据图谱定性分析的要点用数学的方式表达出来,实现了对频率响应数据的量化分析。经过实例验证表明,该方法可以取得较好的诊断效果。

关键词:

基金项目:

国家高技术研究发展计划(863计划)

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作者简介:


Transformer Winding Frequency Response Data Analysis with Block Frequency Point Method
Author:
Affiliation:

(China Electric Power Research Institute, Beijing 100192, China)

Abstract:

Frequency response analysis is an important method of detecting transformer winding deformation. Experienced professionals are able to judge winding deformation accurately by qualitative analysis of the frequency response data atlas. Firstly, the qualitative analysis methods for frequency response data are summarized. Secondly, according to the characteristics of the qualitative analysis, the mathematical morphology is introduced and the quantitative analysis for the amplitude difference is researched. The frequency domain is defined to divide the extreme points of the frequency response data into matched extreme point, shifted extreme point, lost extreme point, excess extreme point and the quantitative analysis for the extreme points is researched. Finally, the block frequency point method is proposed. The main points of the qualitative analysis for frequency response data atlas are mathematically presented with the block frequency point method, and the quantitative analysis for frequency response data is realized. The effectiveness of the method is proved by verification of an example.

Keywords:

Foundation:
High-Tech Research and Development Program of China
引用本文
[1]许渊,弓艳朋,刘有为,等.变压器绕组频率响应数据的图块频点分析法[J].电力系统自动化,2014,38(6):91-97. DOI:10.7500/AEPS20130411011.
XU Yuan, GONG Yanpeng, LIU Youwei, et al. Transformer Winding Frequency Response Data Analysis with Block Frequency Point Method[J]. Automation of Electric Power Systems, 2014, 38(6):91-97. DOI:10.7500/AEPS20130411011.
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  • 收稿日期:2013-04-11
  • 最后修改日期:2014-02-21
  • 录用日期:2013-10-18
  • 在线发布日期: 2014-02-18
  • 出版日期:
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