| 基于神经网络的单端行波故障测距方法 |
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| 引用本文： | 束洪春,邬乾晋,张广斌,孙士云,刘可真.基于神经网络的单端行波故障测距方法[J].中国电机工程学报,2011(4). |
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| 作者姓名： | 束洪春 邬乾晋 张广斌 孙士云 刘可真 |
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| 作者单位： | 昆明理工大学电力工程学院;哈尔滨工业大学电气工程及自动化学院; |
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| 基金项目： | 国家自然科学基金项目(50977039,50847043,90610024,50467002,50347026); 云南省自然科学基金项目(2003GG10,2005F0005Z)~~ |
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| 摘 要： | 单端行波故障测距的关键是正确辨识量测到的第2个行波波头的性质。当母线上最短健全线路的长度大于故障线路全长的四分之一且次短健全线路长度大于故障线路全长的二分之一时,保护安装处检测到的前3个波头一定含有至少2个来自故障线路的行波。当健全线路不满足上述条件时,用方向行波识别行波是否来自故障线路。利用人工神经网络(artificial neutral network,ANN)的非线性函数逼近拟合能力,选取保护安装处检测到的后2个波头与首波头的时间差及其波头极性作为样本属性,训练、测试ANN建立其故障测距的ANN并模型来实现初步的故障测距,然后应用故障距离与波速、传输时间的关系正确辨识第2个行波波头性质,继而求得精确的故障距离。仿真结果表明该方法可行、有效。
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| 关 键 词： | 输电线路 故障测距 单端法 行波辨识 人工神经网络 |
Single Terminal Traveling Wave Fault Location Method Based on ANN |
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| SHU Hongchun,WU Qianjin,ZHANG Guangbin,SUN Shiyun,LIU Kezhen.Single Terminal Traveling Wave Fault Location Method Based on ANN[J].Proceedings of the CSEE,2011(4). |
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| Authors: | SHU Hongchun WU Qianjin ZHANG Guangbin SUN Shiyun LIU Kezhen |
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| Affiliation: | SHU Hongchun1,WU Qianjin1,ZHANG Guangbin2,SUN Shiyun2,LIU Kezhen2(1.Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650051,Yunnan Province,China,2.School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,Heilongjiang Province,China) |
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| Abstract: | The difficulty in applying single terminal fault location method is to identify the second wave correctly.If the length of the shortest healthy line is longer than a quarter of the faulty line and the second shortest healthy line is longer than the half of the faulty line,more than two waves that are from the faulty line must be contained in the first three traveling waves.If the healthy lines don't fill above requirements,the directional traveling wave is used to identify whether the wave comes from faulty... |
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| Keywords: | transmission line fault location single terminal method traveling wave identification artificial neutral network(ANN) |
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