[1]史天玉. 轨道交通直流牵引供电系统短路电流检测方法[J].机械与电子,2021,(03):29-33.
 SHI Tianyu. Short Circuit Current Detection Method for DC Traction Power Supply System of Rail Transit[J].Machinery & Electronics,2021,(03):29-33.
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年03期
页码:
29-33
栏目:
机电一体化技术
出版日期:
2021-03-24

文章信息/Info

Title:
 

Short Circuit Current Detection Method for DC Traction Power Supply System of Rail Transit

文章编号:
1001-2257(2021)03-0029-05
作者:
 史天玉
 中铁第一勘察设计院集团有限公司, 陕西 西安 710043
Author(s):
 

SHI Tianyu

 China Railway First Survey and Design Institute Group Co., Ltd., Xi’an 710043,China
关键词:
 直流牵引供电短路检测小波包SOFM神经网络
Keywords:
 

DC traction power supply short circuit detection wavelet packet SOFM neural network

分类号:
TM922.3
文献标志码:
A
摘要:
 针对轨道交通直流牵引供电系统列车启动负荷冲击电流引发的DDL保护误启动问题,提出了基于小波包变换和自组织映射(SOFM)神经网络的短路电流检测方法。该方法采用改进小波包变换将馈线电流信号映射至频域,消除频谱混叠干扰后,提取能够区分负荷冲击电流与远端短路电流的特征向量,将特征向量输入到SOFM神经网络实现短路电流检测。实验结果表明,该方法能够有效区分负荷冲击电流和远端短路电流,且识别准确率优于现有方法。
Abstract:
 Aiming at problem of false start of DDL protection caused by train starting load impulse current in rail transit DC traction power supply system, a short-circuit current detection method based on wavelet packet transform and self-organizing map (SOFM) neural network is proposed. The improved wavelet packet transform is used to map the feeder current signal to the frequency domain. After eliminating the spectrum aliasing interference, the feature vector which can distinguish the load impulse current from the remote short-circuit current is extracted. Then the feature vector is input into SOFM neural network to detect the short-circuit current. The experimental results show that the method can effectively distinguish the load impulse current and the remote short-circuit current, and the recognition accuracy is better than the existing methods.

参考文献/References:

 

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[4]祝冰心,李夏青,田行军,等.基于关联维数的直流牵引网故障识别[J].北京石油化工学院学报,2014,22(1):37-43.

[5]刘炜,李思文,王竞,等.基于EWT能量熵的直流短路故障辨识[J].电力自动化设备,2020,40(2):149-154.

[6]师睿,王蓉蓉,章鼎然 基于列车负荷特性的电流增量保护优化设计[J].城市轨道交通研究,2019,22(9):79-81,84.

[7]冷月,杨洪耕,王智琦.基于EEMD样本熵的直流牵引网故障电流识别[J].中国测试,2016,42(12):95-99.

[8]费扬,杜庆治.基于小波包能量熵和PSO的轴承故障诊断方法[J].信息技术,2018(4):45-49.

[9]杨名,陈红卫.一种基于小波包和apFFT的间谐波检测方法[J].电力系统保护与控制,2017,45(15):112-117.

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备注/Memo

备注/Memo:
收稿日期:2020-10-25

作者简介:史天玉(1985-),男,甘肃张掖人,硕士,工程师,研究方向为电力牵引供电系统。

更新日期/Last Update: 2021-03-22