|本期目录/Table of Contents|

[1]彭超,阮江军,黄道春,等. 基于特高频谱图统计参量的局部放电定位方法研究[J].电机与控制学报,2014,18(09):1-8.
 PENG Chao,UAN Jiang-jun,HUANG Dao-chun,et al. Research on partial discharge location method based onPRPD statistic parameters of ultra-high frequency[J].,2014,18(09):1-8.
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 基于特高频谱图统计参量的局部放电定位方法研究(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
18
期数:
2014年09
页码:
1-8
栏目:
出版日期:
2014-09-30

文章信息/Info

Title:
 Research on partial discharge location method based on
PRPD statistic parameters of ultra-high frequency
作者:
 彭超 阮江军 黄道春 雷清泉 周瑜
 1. 武汉大学电气工程学院,湖北武汉430072; 2. 中国电力科学研究院,湖北武汉430074;
3. 哈尔滨理工大学电气与电子工程学院,黑龙江哈尔滨150080; 4. 国网青海省电力公司电力科学研究院,青海西宁810008
Author(s):
 PENG Chao RUAN Jiang-jun HUANG Dao-chun LEI Qing-quan ZHOU Yu
 1. School of Electrical Engineering,Wuhan Universiy,Wuhan 430072,China;
2. China Electric Power Research Institute,Wuhan 430074,China;
3. School of Electrical and Electronic Engineering,Harbin University of Science and Technology,Harbin 150080,China;
4. Electric Power Research Institute of State Grid Qinghai Electric Power,Xining 810008,China
关键词:
 局部放电 特高频 定位 检测距离 定位精度
Keywords:
 partial discharge ultra-high frequency location detection distance location accuracy
分类号:
-
DOI:
-
文献标志码:
A
摘要:
 针对基于时间差的特高频局部放电定位中时间差求解困难的问题,引入了一种新的不基于
时间差的特高频局部放电定位方法。通过建立变压器局部放电模型和实验系统,在获得了不同检
测距离下两种典型局部放电特高频谱图数据的基础上,根据特高频谱图统计参量与传播距离间的
关系,采用多元非线性回归的方法,建立了检测距离与统计参量间的函数关系,从而可以将在未知
距离测量得到统计参量代入函数计算得到检测距离。通过实验数据检验,该方法计算得到的检测
距离精度小于40 cm。
Abstract:
 According to the problem of calculating the time difference of arrival ( TDOA) based on ultrahigh
frequency ( UHF) partial discharge ( PD) location,a new method for UHF partial discharge localization
was introduced which is not based on the TDOA. Tow typical PD model in power transformer and
experimental system were established,and these phase resolved partial discharge pattern ( PRPD) data
from typical UHF partial discharge at different detection distances were obtained. Based on the relationship
between the statistical parameters of PRPD and detection distance,multivariate nonlinear regression
was adopted to build a function to detect the distance using the statistical parameters,which was used to
calculate unknown detection distance using statistical parameters. Experimental data was processed to
verify the validity of the method and the result shows that the accuracy of the detection distance calculated
is less than 40cm.

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备注/Memo

备注/Memo:
更新日期/Last Update: 2014-11-28