| 引用本文: | 刘炜,李思文,王竞,崔洪敏,李富强,李由.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): |
| LIU Wei,LI Siwen,WANG Jing,CUI Hongmin,LI Fuqiang,LI You.Identification of DC short circuit fault based on EWT energy entropy[J].Electric Power Automation Equipment,2020,40(2): |
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| 摘要: |
| 针对现有直流牵引供电系统短路故障辨识中列车过分段导致电流变化率和电流增量(DDL)保护误动作的问题，提出基于经验小波变换能量熵的方法识别列车过分段电流与远端短路故障电流。该方法采用经验小波将电流信号自适应地分解为多个紧支撑的经验模态函数，基于经验模态函数的能量权重构建能量熵，定量地描述了馈线电流信号的能量在时频分布的复杂性。采用大量列车过分段电流和远端短路电流数据对该方法进行验证，证明了该方法与DDL保护配合可以提高短路故障识别的正确率。 |
| 关键词: 城市轨道 直流保护 经验小波变换 时频分析 能量权重 |
| DOI：10.16081/j.epae.202001028 |
| 分类号:TM922.3;U224.4 |
| 基金项目: |
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| Identification of DC short circuit fault based on EWT energy entropy |
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LIU Wei1, LI Siwen1, WANG Jing2, CUI Hongmin1, LI Fuqiang1, LI You1
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1.School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;2.China Shipbuilding Industry Corporation No. 712 Institute, Wuhan 430064, China
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| Abstract: |
| Aiming at the malfunction of DDL protection caused by train over-section in existing DC traction power supply system, an energy entropy method based on EWT(Empirical Wavelet Transform) is proposed to identify train over-section current and remote short circuit fault current. The proposed method adaptively decomposes the current signal into several compactly supported EMFs(Empirical Mode Functions) by using empirical wavelets. Based on the energy weight of EMFs, the energy entropy is constructed to quantitatively describe the complexity of energy distribution of feeder current in time-frequency domain. A large number of data of train over-section current and remote short circuit current is used to verify the proposed method, which proves that the proposed method can improve the accuracy of short circuit fault identification by cooperating with DDL protection. |
| Key words: urban rail transit DC protection empirical wavelet transform time-frequency analysis energy weight |
