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[1]李天辉,贾伯岩,唐明,等.最小能量法因子对RSO 法检测匝间短路故障的时间差定位影响分析[J].高压电器,2019,55(05):54-61.[doi:DOI:10.13296/j.1001-1609.hva.2019.05.009]
 LI Tianhui,JIA Boyan,TANG Ming,et al.Influence of Minimum Energy Factor on Time Difference Location Accuracy of RSO for Detecting Inter?turn Short Circuit Fault[J].High Voltage Apparatus,2019,55(05):54-61.[doi:DOI:10.13296/j.1001-1609.hva.2019.05.009]
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最小能量法因子对RSO 法检测匝间短路故障的时间差定位影响分析()
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《高压电器》[ISSN:1001-1609/CN:61-11271/TM]

卷:
第55卷
期数:
2019年05期
页码:
54-61
栏目:
高压设备?#21277;?#21644;现场测试技术
出版日期:
2019-05-20

文章信息/Info

Title:
Influence of Minimum Energy Factor on Time Difference Location Accuracy of RSO for Detecting Inter?turn Short Circuit Fault
作者:
李天辉1 贾伯岩1 唐明2 刘宏亮1 武玉才3 殷庆栋1 孙路1 袁倩倩1 李丹1
(1. 国网河北省电力有限公司电力科学研究院,石家庄050021;2. 长园共创电力安全技术股份有限公司, 广东珠海519085;3. 华北电力大学,河北保定071003)
Author(s):
LI Tianhui1JIA Boyan1TANG Ming2LIU Hongliang1WU Yucai3 YIN Qingdong1SUN Lu1YUAN Qianqian1LI Dan1
(1. State Grid Hebei Electric Power Research Institute,Shijiazhuang 050021,China;2. CYG CONTRON Co.,Ltd., Guangdong Zhuhai 519085,China;3. North China Electric Power University,Hebei Baoding 071003,China)
关键词:
能量最小值法匝间短路重复脉冲法特征波形时间差
Keywords:
energy minimization algorithminter?turn short circuitrecurrent surge oscilloscopecharacteristic waveformtime difference
DOI:
DOI:10.13296/j.1001-1609.hva.2019.05.009
摘要:
为实现重复脉冲法检测匝间短路故障的早期预警与准确定位,文中采用改进最小能量法查找脉冲起 始时刻并以此计算重复脉冲信号的传播时间差,从而实现提高故障定位精度的目的。通过在发电机转子绕 组中的检测实例,分析了最小能量法因子α在不同取值下对绕组无缺陷、轻微缺陷、重度缺陷以及?#29616;?#32570;陷 等4种情况下时间差计算准确度的影响。结果表明,特征波形凸起越大,即信噪比越高,则时间差计算越准 确。随后基于Monte Carlo方法对各种缺陷情况下的30组数据分别进行统计分析。结果表明:无论是何种缺 陷,影响因子取值?#21363;?#22312;一个合理区间,在该选择区间内选取因子α的值,可提高时间差计算的准确度,从而 提高匝间短路定位的准确程度。最后提出了先判?#20808;?#38519;?#29616;?#31243;度,再选取合适的计算因子α,最后进行时间 差计算的缺陷定位方法。
Abstract:
In order to realize the early warning and accurate positioning for the detection of inter?turn short circuit fault by recurrent surge oscilloscope(RSO)method,the improved minimum energy method is presented in this paper to determine the start time of the recurrent surge pulse and estimate signals propagating time difference so as to im? prove the accuracy of fault location. The detection in generator rotor winding is taken as an analysis example. In the four cases that there are no defects,slight defects,severe defects and serious defects in windings,the influence of the minimum energy factor α on the accuracy of wave front estimation is analyzed. The result indicates that the larger the protruding of the characteristic waveform,in other words the higher the signal to noise ratio,the more accurate the time difference calculation will be. Then thirty sets of RSO data collected in the test of different cases are statistically analyzed based on the Monte Carlo method. The results show that no matter what kind of fault is,the factor α always has a reasonable selection range which can improve the calculation accuracy of the wave front as well as the defect lo? cation of the inter?turn shortcircuit. Finally,the defect location method that judges the severity of the defect firstly,se? lects the appropriate computing factor secondly and calculates of time difference at last,is proposed.

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备注/Memo

备注/Memo:
收稿日期:2018?11?18; 修回日期:2019?01?19 基金项目:国网河北省电力有限公司科技项目(kj2019-067);国网河北能源技术服务有限公司科技项目(TSS2017?04)资助。 Project Supported by Science and Technology Projects of State Grid Hebei Electric Power Supply Co.,Ltd.(kj2019-067),State Grid Hebei Energy Technology Service Co.,Ltd. (TSS2017?04).李天辉(1984—),男,工学博士,高级工程师,主要从事电 力设备状态检测与故障诊断技术、高电?#25925;匝?#25216;术方面的研 究工作。 贾伯岩(1978—),男,工学硕士,正高级工程师,主要从事 电力设备故障诊断分析、电力系统外绝缘方面的研究工作。 唐明(1981—),男,工学博士,博士后研究?#20445;?#20174;事电力 安全检测技术研究。
更新日期/Last Update: 2019-05-20
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