Locating arc fault of DC bus in photovoltaic system by natural frequency method

被引:0
|
作者
Tang, Hailong [1 ]
Xiong, Lan [1 ]
Wu, Shuniu [1 ]
Wang, Yun [1 ]
Chen, Yonghui [1 ]
机构
[1] State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing,400044, China
来源
关键词
Data mining - Electric circuit breakers - Natural frequencies - Simulation platform;
D O I
10.19912/j.0254-0096.tynxb.2021-0255
中图分类号
学科分类号
摘要
This paper presented a DC arc fault location method of the cable by natural frequency. Firstly, a transient voltage information is recorded at the first end of the transmission line after an arc fault occurs. For series arc fault, by extracting the data after circuit breaker action. For parallel arc fault, by extracting the data before circuit breaker action. Then the principal component of natural frequency can be chosen. Finally, a specific formula d =v/(2f ) is used to calculate the distance of fault points whatever series or parallel arcs distance. Compared with the traditional traveling wave method, it has the advantages of simple calculation, high accuracy and low cost. The reliability and practicability of the method are proved by circuit model simulation and experiment test with a low voltage DC transmission platform. The test results show that the distance measuring error is less than 6%. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
收藏
页码:30 / 37
相关论文
共 50 条
  • [1] An Arc Fault Detection System for the Household Photovoltaic Inverter according to the DC Bus Currents
    Xia, Kun
    He, Zihui
    Yuan, Yin
    Wang, Yiming
    Xu, Po
    [J]. 2015 18TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2015, : 1687 - 1690
  • [2] STUDY ON DETECTION METHOD OF DC FAULT ARC BASED ON PHOTOVOLTAIC POWER GENERATION SYSTEM
    Tang, Shengxue
    Wang, Yanfeng
    Qiao, Naizhen
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (11): : 31 - 39
  • [3] Comparison of DC arc fault detection methods for photovoltaic system
    Huang, Xiaoxiao
    Wu, Chunhua
    Li, Zhihua
    Wang, Fei
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 41 (08): : 204 - 214
  • [4] DC arc-fault hazards analysis and protection in photovoltaic system
    Wu, Chunhua
    Xu, Wenxin
    Li, Zhihua
    Wang, Fei
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 41 (09): : 198 - 206
  • [5] Design of a DC Series Arc Fault Detector for Photovoltaic System Protection
    Gu, Jyh-Cherng
    Lai, De-Shin
    Wang, Jing-Min
    Huang, Jiang-Jun
    Yang, Ming-Ta
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (03) : 2464 - 2471
  • [6] DC Series Arc Fault Detection Method in Photovoltaic System Based on Multiple Frequency Selections for Common-Mode Conductive Voltage
    Wang, Haining
    Wang, Xiaozhou
    Fan, Tao
    Wang, Jian
    Lin, Zijie
    Shen, Yu
    Su, Jianhui
    Zhang, Peng
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2022, 37 (12) : 15538 - 15553
  • [7] A DC Arc Fault Detection Method Based on AR Model for Photovoltaic Systems
    Wang, Yao
    Li, Xiang
    Ban, Yunsheng
    Ma, Xiaochen
    Hao, Chenguang
    Zhou, Jiawang
    Cai, Huimao
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [8] Series Arc Fault Characteristics and Detection Method of a Photovoltaic System
    Pang, Ruiwen
    Ding, Wenfang
    [J]. ENERGIES, 2023, 16 (24)
  • [9] DC Fault Arc Identification and Detection Analysis of Photovoltaic Power Generation System
    Ma Yongfei
    Yang Jun
    Yang Libin
    Li Chunlai
    He Yanjiao
    Wang Huabiao
    Wang Canghai
    Wang Xianmin
    [J]. 2018 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2018), 2018, : 63 - 65
  • [10] Arc Fault Characteristics and Detection Method of DC Microgrid System
    Wu, Chunhua
    Lin, Xiamiao
    Li, Zhihua
    Wang, Fei
    [J]. Gaodianya Jishu/High Voltage Engineering, 2023, 49 (10): : 4307 - 4316