Power Cable Defects Location Based on Improved Time-frequency Domain Reflectometry

被引:0
|
作者
Wang, Yuhao [1 ]
Zhou, Kai [1 ]
Wang, Xianjin [2 ]
Rao, Xianjie [1 ]
Li, Rong [1 ]
Liang, Zhongying [1 ]
Gong, Wei [1 ]
机构
[1] School of Electrical Engineering, Sichuan University, Chengdu,610065, China
[2] Wanzhou Power Supply Branch, State Grid Chongqing Electric Power Company, Wanzhou District, Chongqing,404100, China
基金
中国国家自然科学基金;
关键词
Polyethylenes - Chirp modulation - Frequency domain analysis - Defects - Location - Reflectometers - Cables - Reflection;
D O I
10.13334/j.0258-8013.pcsee.202020
中图分类号
学科分类号
摘要
Power cables have been widely used in urban power distribution systems, and cable defects location has become a problem of concern to many scholars. For the traditional time-frequency domain reflectometry (TFDR) there are cross-term interference and other issues. This paper proposed an improved time-frequency domain reflectometry. The method selected a specific linear frequency modulation (LFM) reference signal and obtained a Wigner-Ville distribution (WVD) of the reflected signal to analyze the time-frequency characteristics. However, there was cross-item interference in the WVD, so a new cross-item suppression method was proposed in this paper. By analyzing the characteristic differences between the self-item and cross-item of the signal time-frequency distribution, the cross-item interference was eliminated without affecting the signal resolution by affine transformation (AT) and other signal processing methods, and the defects location were precisely determined by the time-frequency cross-correlation function of the signal. In this paper, the 10kV cross-linked polyethylene (XLPE) cable was simulated and analyzed, and the 105m XLPE cable with defects and the 500m XLPE cable with joints were experimented. The simulation and experimental results show that the proposed method is more accurate than the conventional method and has better robustness. © 2021 Chin. Soc. for Elec. Eng.
引用
收藏
页码:2584 / 2593
相关论文
共 50 条
  • [21] Influence of Cable Structure on the Fault Location by Frequency Domain Reflectometry
    Ohki, Yoshimichi
    Hirai, Naoshi
    [J]. 2015 IEEE CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA (CEIDP), 2015, : 274 - 277
  • [22] Application of Time-Frequency Domain Reflectometry based on Multi-band Signal for Detection and Localization of Fault on Cable
    Jung, Moon Kang
    Shin, Yang June
    Park, Jin Bae
    [J]. 2014 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2014), 2014, : 396 - 401
  • [23] Reinforcement Learning-Based Automation of Time-Frequency Domain Reflectometry
    Bang, Su Sik
    Kwon, Gu-Young
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (04) : 4171 - 4180
  • [24] Offline Fault Localization Technique on HVDC Submarine Cable via Time-Frequency Domain Reflectometry
    Kwon, Gu-Young
    Lee, Chun-Kwon
    Lee, Geon Seok
    Lee, Yeong Ho
    Chang, Seung Jin
    Jung, Chae-Kyun
    Kang, Ji-Won
    Shin, Yong-June
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2017, 32 (03) : 1626 - 1635
  • [25] Multi-core Cable Fault Diagnosis using Cluster Time-Frequency Domain Reflectometry
    Lee, Chun-Kwon
    Shin, Yong-June
    [J]. 2018 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC): DISCOVERING NEW HORIZONS IN INSTRUMENTATION AND MEASUREMENT, 2018, : 499 - 504
  • [26] Offline Fault Localization Technique on HVDC Submarine Cable via Time-Frequency Domain Reflectometry
    Kwon, Gu-Young
    Lee, Chun-Kwon
    Lee, Geon Seok
    Lee, Yeong Ho
    Chang, Seung Jin
    Jung, Chae-Kyun
    Kang, Ji-Won
    Shin, Yong-June
    [J]. 2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
  • [27] Abnormality Monitoring for Three-Phase HTS Cable via Time-Frequency Domain Reflectometry
    Bang, Su Sik
    Shin, Yong-June
    [J]. IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2021, 31 (05)
  • [28] Monitoring Electrical and Thermal Characteristics of HTS Cable Systems via Time-Frequency Domain Reflectometry
    Lee, Geon Seok
    Kwon, Gu-Young
    Bang, Su Sik
    Lee, Yeong Ho
    Sohn, Song-Ho
    Park, Kijun
    Shin, Yong-June
    [J]. IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2017, 27 (04)
  • [29] Time-frequency domain reflectometry for smart wiring systems
    Shin, YJ
    Song, ES
    Kim, JW
    Park, JB
    Yok, JG
    Powers, EJ
    [J]. ADVANCED SIGNAL PROCESSING ALGORITHMS, ARCHITECTURES, AND IMPLEMENTATIONS XII, 2002, 4791 : 86 - 95
  • [30] An efficient accuracy improvement method for cable defect location based on instantaneous filtering in time-frequency domain
    Zou, Xingyu
    Mu, Haibao
    Wang, Renjie
    Fan, Kaixuan
    Cheng, Ziqian
    He, Yifan
    Zhang, Guanjun
    [J]. MEASUREMENT, 2024, 226