Faulty Line Selection Method Based on Comprehensive Dynamic Time Warping Distance in a Flexible Grounding System

被引:13
|
作者
He, Yu [1 ]
Zhang, Xinhui [1 ]
Wu, Wenhao [1 ]
Zhang, Jun [1 ]
Bai, Wenyuan [1 ]
Guo, Aiyu [1 ]
Chen, Yu [1 ]
机构
[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo 255000, Peoples R China
关键词
flexible grounding system; faulty line selection; single-phase grounding fault; Comprehensive Dynamic Time Warping (CDTW) distance; transient projection method;
D O I
10.3390/en15020471
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
A flexible grounding system is a system in which the neutral point of the power supply is grounded via the arc suppression coil in parallel with a low-resistance resistor. When operating normally or a temporary ground fault occurs, the arc suppression coil is used for grounding, whereas the small resistance is switched on when a permanent ground fault occurs. At present, the problem of low protection sensitivity when a high-resistance ground fault occurs in a flexible grounding system has not been solved yet. According to the characteristics of low waveform similarity between the faulty line and the non-faulty line when a single-phase grounding fault occurred, a new faulty line selection method based on a combination of Dynamic Time Warping (DTW) distance and the transient projection method is proposed in this paper. Firstly, the fault transient signal is extracted by a digital filter as a basis for faulty line selection. Secondly, the transient zero-sequence current of each line is projected onto the busbar transient zero-sequence voltage, and the projected DTW distance of each line is calculated. Finally, according to the calculation formula of waveform comprehensive similarity coefficient, the Comprehensive DTW (CDTW) distance is obtained, and the top three CDTW distance values are selected to determine the faulty line. If the maximum value is greater than the sum of the other two CDTW distance values, the line corresponding to the maximum value is judged as the faulty line; otherwise, it is judged as a busbar fault. The simulation results based on MATLAB/Simulink and field data test show that the method can accurately determine the faulty line under diverse fault conditions.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] A grid-based index method for time warping distance
    An, JY
    Chen, YPP
    Keogh, E
    ADVANCES IN WEB-AGE INFORMATION MANAGEMENT: PROCEEDINGS, 2004, 3129 : 65 - 75
  • [32] A fault enhancing method based on dynamic time warping
    Dong L.
    Song W.
    Hu J.
    Zeng C.
    Zhao B.
    Gao W.-Z.
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2021, 56 (03): : 574 - 582
  • [33] A Multi-Stroke Dynamic Time Warping Distance Based on A* Optimization
    Li, Jinpeng
    Mouchere, Harold
    Viard-Gaudin, Christian
    Chen, Zhaoxin
    2013 12TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), 2013, : 1330 - 1334
  • [34] Dynamic time warping-based feature selection method for foot gesture cobot operation mode selection
    Djogdom, Gilde Vanel Tchane
    Otis, Martin J. -D.
    Meziane, Ramy
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 126 (9-10): : 4521 - 4541
  • [35] IRC botnets' homology identifying method based on dynamic time warping distance of communication feature curves
    Jin, Xin
    Li, Runheng
    Gan, Liang
    Li, Zhengyi
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2012, 49 (03): : 481 - 490
  • [36] Calculation method of load sample size for tractor drive shafts based on dynamic time warping distance
    Yin Y.
    Fu N.
    Liao P.
    Song Z.
    Song, Zhenghe (songzhenhe@cau.edu.cn), 1600, Chinese Society of Agricultural Engineering (36): : 54 - 60
  • [37] An Unsupervised Grey Incidence Clustering Method Based on Multi-Dimensional Dynamic Time Warping Distance
    Dai, Jin
    He, Yuhong
    Wang, Zu
    Wang, Mei
    2018 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA), 2018, : 88 - 92
  • [38] A Parallelized Data Stream Processing System using Dynamic Time Warping Distance
    Takahashi, Norihiro
    Yoshihisa, Tomoki
    Sakurai, Yasushi
    Kanazawa, Masanori
    CISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2, 2009, : 1100 - +
  • [39] A novel distance measure based on dynamic time warping to improve time series classification
    Liu, Yutao
    Zhang, Yong-An
    Zeng, Ming
    Zhao, Jie
    INFORMATION SCIENCES, 2024, 656
  • [40] Invariant subspace learning for time series data based on dynamic time warping distance
    Deng, Huiqi
    Chen, Weifu
    Shen, Qi
    Ma, Andy J.
    Yuen, Pong C.
    Feng, Guocan
    PATTERN RECOGNITION, 2020, 102