[1]唐志宇,毛 兴,王路军.电力变压器绕组变形检测技术研究[J].机械与电子,2018,(11):53-57,62.
　TANG Zhiyu,MAO Xing,WANG Lujun.Research on Power Transformer Winding Deformation Detection Technology[J].Machinery & Electronics,2018,(11):53-57,62.
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电力变压器绕组变形检测技术研究
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年11期
页码:
53-57,62
栏目:
自动控制与检测
出版日期:
2018-11-24

文章信息/Info

Title:
Research on Power Transformer Winding Deformation Detection Technology
文章编号:
1001-2257(2018)11-0053-05
作者:
唐志宇; 毛 兴; 王路军
(云南电网有限责任公司曲靖供电局,云南 曲靖 655000)
Author(s):
TANG Zhiyu; MAO Xing; WANG Lujun
(Qujing Power Supply Bureau, Yunnan Power Grid Co., Ltd., Qujing 655000,China)
关键词:
故障诊断;  频率响应;  电力变压器测试;  灵敏度;  变压器绕组
Keywords:
fault diagnosis;  frequency response;  power transformer test;  sensitivity;  transformer winding
分类号:
TM769
文献标志码:
A
摘要:
目前常用于电力变压器内部绕组变形检测方法是将内部绕组的频率响应曲线与参考响应特征曲线进行对比。本文针对参考特征曲线的缺失将影响频率响应技术的可行性的问题,提出一种对相同绕组不同连接方式的频率响应曲线差异进行分析实现对电力变压器内部绕组变形检测的技术。通过模拟实验和仿真验证表明,通过不同连接方式的绕组频率响应曲线之间的差异能够有效显示检测高压绕组和低压绕组之间轴向位移和低压绕组径向变形。
Abstract:
At present, the method for detecting the internal winding deformation of a power transformer is to compare the frequency response curve of the internal winding with the reference response characteristic curve. In this paper, the lack of reference characteristic curve will affect the feasibility of frequency response technology. A technique for analyzing the difference of frequency response curve of different connection modes of the same winding was proposed to realize the detection of internal winding deformation of power transformer. Simulation experiments and simulation verifications show that the difference between the winding frequency response curves of different connection modes can effectively show the axial displacement between the high voltage winding and the low voltage winding and the radial deformation of the low voltage winding.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-07-04
作者简介:唐志宇(1971-),男,云南玉溪人,工程师,研究方向为电力设备高压试验、诊断与评估; 毛 兴(1986-),男,云南宣威人,工程师,研究方向为电力设备高压试验、诊断与评估; 王路军(1972-),男,云南宾川人,工程师,研究方向为电力设备高压试验、诊断与评估。
更新日期/Last Update: 2018-11-24