Diagnostic Method to Determine Degree and Type of Winding Deformation in Power Transformer Based on Euclidean Distance

ZHANG Zhongyuan; HU Huan; CHENG Huaihao; LIU Yunpeng; XU Kang; ZHANG Pan; ZHOU Jingxian

doi:10.13296/j.1001-1609.hva.2020.01.033

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Diagnostic Method to Determine Degree and Type of Winding Deformation in Power Transformer Based on Euclidean Distance

更新时间：2025-04-26

- Diagnostic Method to Determine Degree and Type of Winding Deformation in Power Transformer Based on Euclidean Distance
- High VoltageApparatus Vol. 56, Issue 1, Pages: 224-230(2020)
- 作者机构：
  
  1. 华北电力大学河北省输变电设备安全防御重点实验室
  2. 国网孝感供电公司
  3. 3. 华北电力大学新能源电力系统国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2020.01.033
  CLC： TM41
- Published：2020
- 稿件说明：
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[1]张重远,胡焕,程槐号,刘云鹏,徐康,张攀,周婧娴.基于欧氏距离分析的电力变压器绕组变形程度与类型的诊断方法[J].高压电器,2020,56(01):224-230.

ZHANG Zhongyuan, HU Huan, CHENG Huaihao, et al. Diagnostic Method to Determine Degree and Type of Winding Deformation in Power Transformer Based on Euclidean Distance[J]. High voltageapparatus, 2020, 56(1): 224-230.
[1]张重远,胡焕,程槐号,刘云鹏,徐康,张攀,周婧娴.基于欧氏距离分析的电力变压器绕组变形程度与类型的诊断方法[J].高压电器,2020,56(01):224-230. DOI： 10.13296/j.1001-1609.hva.2020.01.033.

ZHANG Zhongyuan, HU Huan, CHENG Huaihao, et al. Diagnostic Method to Determine Degree and Type of Winding Deformation in Power Transformer Based on Euclidean Distance[J]. High voltageapparatus, 2020, 56(1): 224-230. DOI： 10.13296/j.1001-1609.hva.2020.01.033.

摘要

频率响应分析法是检测电力变压器绕组变形的常用诊断方法之一。近年来

频率响应分析法的检测流程趋向标准化

但寻求合适的算法对频响曲线数据进行量化分析仍需深入研究。文中将频响曲线数据的量化分析看作一个概率分类问题

提出了应用欧氏距离分析诊断变压器绕组变形程度和类型的新方法。研究结果表明

欧氏距离分析能够有效地对变压器绕组变形程度进行诊断

且与先前研究提出的数学指数方法相比

该方法对变形程度的诊断结果具有更高的线性度。同时

在检测频段分段后获取子频段的欧氏距离分布的基础上

计算得到了子频段欧氏距离的最大值与最小值的比值

该比值能够有效地对绕组变形类型进行诊断。研究结果对频响曲线数据量化分析具有一定的参考价值。

Abstract

Frequency response analysis method is commonly used to monitor and diagnose the integrity of winding in Power transformer. Nearly a decade of research has prompted testing process of frequency response method toward standardization

but a suitable algorithm for quantitative analysis of curve data still needs further study. In this paper

the quantitative analysis of frequency response curve data can be regarded as a probability classification problem

so the euclidean distance analysis is put forward to determine degree and type of winding deformation in power transformer. The results show that euclidean distance analysis could effectively diagnose the degree of winding deformation and has higher linearity of degree compared with other mathematical index in previous studies. Besides

euclidean distance of segmented frequency band is firstly calculated separately after discretization of the full spectrum and then the ratio of maximum and minimum could be calculated to determine the type of winding deformation. The research results has a certain reference value for quantitative analysis of frequency response curve data.

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