[1]肖小龙,郭佳豪,郭茂森,等.基于改进 GCC 算法的交流配电电缆局部放电在线定位方法研究[J].机械与电子,2024,42(03):26-31.
　XIAO Xiaolong,GUO Jiahao,GUO Maosen,et al.Research on Online Localization Method of Partial Discharge of AC Distribution Cable Based on Improved GCC Algorithm[J].Machinery & Electronics,2024,42(03):26-31.
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基于改进 GCC 算法的交流配电电缆局部放电在线定位方法研究()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
42
期数:
2024年03期
页码:
26-31
栏目:
设计与研究
出版日期:
2024-03-25

文章信息/Info

Title:
Research on Online Localization Method of Partial Discharge of AC Distribution Cable Based on Improved GCC Algorithm
文章编号:
1001-2257 ( 2024 ) 03-0026-06
作者:
肖小龙 1 ; 郭佳豪 1 ; 郭茂森 2 ; 杨景刚 1 ; 许佳杰 2 ; 方 鑫 1 ; 史明明 1 ; 刘 洋 3
1. 国网江苏省电力有限公司电力科学研究院,江苏 南京 210008 ;
2. 东南大学电气工程学院,江苏 南京 210096 ;
3. 国网江苏省电力有限公司,江苏 南京 210024
Author(s):
XIAO Xiaolong1 ;  GUO Jiahao1 ;  GUO Maosen2 ;  YANG Jinggang1 ;  XU Jiajie2 ;  FANG Xin1 ;  SHI Mingming2 ;  LIU Yang3
( 1.Electric Power Research Institute , State Grid Jiangsu Electric Power Co. , Ltd. , Nanjing 210008 , China ;
2.School of Electrical Engineering , Southeast University , Nanjing 210096 , China ;
3.State Grid Jiangsu Electric Power Co. , Ltd. , Nanjing 210024 , China )
关键词:
改进 GCC 算法; 交联聚乙烯; 局部放电; 在线定位
Keywords:
improved GCC algorithm ;  XLPE ;  partial discharge ;  online localization
分类号:
TM247
文献标志码:
A
摘要:
由于受到电磁噪声等因素的影响,现有的电缆局部放电定位方法不能准确定位放电故障。为处理该问题,在双端定位法的基础上,提出一种面向工程实际应用的电缆局部放电信号在线定位方法。基于改进的广义相关算法估计信号时延,并考虑局放信号的波速不定性,采用修剪均值数据滤波算法提高多定位样本下的局部定位精度。最后在仿真及试验中,通过与传统时延估计法进行对比,对所提方法的准确性进行验证。试验结果表明,相比传统的时延估计定位方法,所提方法在环境干扰严重、检测设备采样频率受限的条件下,能够有效提高时延估计精度,减小定位误差,试验定位相对误差为 0.47% ,满足工程实际要求。
Abstract:
Due to the influence of electromagnetic noise and other factors , the existing on-line office dis-charge level method cannot accurately locate the office discharge fault.To handle it , this paper proposes an online localization method for cable local discharge signals that is suitable for practical engineering applications , based on the double-end localization method.The proposed method uses an improved generalized correlation algorithm to estimate the signal time delay , and takes into account the wave speed uncertainty of the local discharge signal.To improve local localizing accuracy under multiple localizing samples , a trimmed-mean data filtering speed algorithm is employed.Simulation and experimental results demonstrate that the proposed method effectively enhances time delay estimation accuracy and reduces localization error , even under complex electromagnetic noise environment and restricted sampling rates of detection equipment , when compared to traditional time delay estimation localization methods.The experimental localizing relative error was found to be only 0.47% , which meets actual engineering requirements.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2023-03-31
基金项目:国网江苏省电力有限公司科技资助项目( J2021056 )
作者简介:肖小龙 ( 1990- ),男,湖北武汉人,硕士,工程师,研究方向为配网智能运检、直流配电技术等。
更新日期/Last Update: 2024-03-25