基于EMD(经验模态分解)奇异值熵的城市轨道交通直流牵引供电系统短路故障辨识
何亮1,2吴浩1李思文3张扬鑫1崔洪敏3刘炜3
Identification of Urban Rail Transit DC Power Supply System Short Circuit Transmission Fault Based on EMD Singular Value Entropy
HE LiangWU HaoLI SiwenZHANG YangxingCUI HongminLIU Wei
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作者信息:1.四川轻化工大学自动化与信息工程学院，644002，自贡；
2.成都地铁运营有限公司，610058，成都；
3.西南交通大学电气工程学院，610031，成都
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Affiliation:School of Automation & Information Engineering, Sichuan University of Science & Engineering, 644002, Zigong, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2021.09.020
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中图分类号/CLCN:U223.6
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栏目/Col:研究报告
摘要:
针对现有保护对远端短路电流和列车充电电流区分能力较弱的问题，提出了一种基于EMD(经验模态分解)奇异值熵的辨识方法。通过对暂态电流进行EMD，获得特征向量矩阵，结合SVD(奇异值分解)和信息熵理论构造奇异值熵。远端短路时，暂态短路电流信号复杂，其奇异值熵大；而列车充电电流信号单一，其熵值小。因此，可根据奇异值熵大小识别短路故障。仿真和实测数据验证了该方法的有效性。
Abstracts:
Aiming at the problem that existing protection is weak in distinguishing remote short circuit from locomotive charging current, an identification method based on EMD (empirical mode decomposition) singular value entropy is proposed. The eigenvector matrix is obtained by EMD decomposition of transient current, and singular value entropy is constructed by combining SVD (singular value decomposition) and information entropy theory. When the remote is short-circuited, the transient short-circuit current signal is complex, while its singular value entropy is large; and the locomotive charging current signal is single, while its entropy value is small, so the short-circuit fault can be identified according to the singular value entropy size. Simulation and measured data verify the effectiveness of the proposed method.
引文 / Ref:
何亮，吴浩，李思文，等.基于EMD(经验模态分解)奇异值熵的城市轨道交通直流牵引供电系统短路故障辨识[J].城市轨道交通研究，2021，24(9):88.
HE Liang，WU Hao，LI Siwen，et al.Identification of urban rail transit DC power supply system short circuit transmission fault based on EMD singular value entropy[J].Urban Mass Transit，2021，24(9)：88.
HE Liang，WU Hao，LI Siwen，et al.Identification of urban rail transit DC power supply system short circuit transmission fault based on EMD singular value entropy[J].Urban Mass Transit，2021，24(9)：88.
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