Wavelet-Based Detection of Transients Induced by DC Faults Using Boundary Protection Principle

被引：0
|
作者：
Silva, D. M. [1 ]
Costa, F. B. [1 ]
Franca, R. L. S. [1 ]
Junior, F. C. S. [1 ]
机构：
[1] Univ Fed Rio Grande do Norte, Natal, RN, Brazil
来源：
2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) | 2018年
关键词：
Fault-induced transients; fault detection; realtime wavelet transform; high-voltage direct current systems;
D O I：
暂无
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：
This paper presents a high-speed method for direct current (DC) line fault detection based on the boundary protection principle. It uses only the DC current signal by means of the first level wavelet coefficients resulted from stationary wavelet transform (SWT). There is no need for communication links, and an objective and generic strategy to determine the occurrence of these internal faults is proposed. Simulation results are presented in order to evaluate the suggested method performance addressing the critical cases of DC faults, alternating current (AC) faults at rectifier and inverter sides, and commutation failures.
引用
收藏
页数：5
相关论文
共 50 条
  • [21] Wavelet-based Watermarking for Copy Rights Protection
    Suryavanshi, H. E.
    Mishra, Amit
    Sahu, Shiv K.
    Mali, M. L.
    2014 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2014,
  • [22] Wavelet-based diagnostics and protection of power transformers
    Saleh, SA
    Rahman, MA
    IEEE INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES, PROCEEDINGS, 2003, : 136 - 141
  • [23] Wavelet-based image watermarking for copyright protection
    Corvi, M
    Nicchiotti, G
    SCIA '97 - PROCEEDINGS OF THE 10TH SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS, VOLS 1 AND 2, 1997, : 157 - 163
  • [24] Wavelet-based preconditioners for boundary integral equations
    Thanh Tran
    Ernst P. Stephan
    Stefan Zaprianov
    Advances in Computational Mathematics, 1998, 9 : 233 - 249
  • [25] Wavelet-based corner detection technique using optimal scale
    Quddus, A
    Gabbouj, M
    PATTERN RECOGNITION LETTERS, 2002, 23 (1-3) : 215 - 220
  • [26] Detection of microcalcifications using wavelet-based thresholding and filling dilation
    Xu, Weidong
    Zhang, Zanchao
    Xia, Shunren
    Duan, Huilong
    INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION, 2006, 345 : 803 - 808
  • [27] Surge disturbance detection using wavelet-based neural network
    Wang, Jing
    Shu, Hongchun
    Chen, Xueyun
    Dianli Xitong Zidonghue/Automation of Electric Power Systems, 2002, 26 (06): : 50 - 54
  • [28] Wavelet-based preconditioners for boundary integral equations
    Tran, T
    Stephan, EP
    Zaprianov, S
    ADVANCES IN COMPUTATIONAL MATHEMATICS, 1998, 9 (1-2) : 233 - 249
  • [29] Wavelet-based corner detection using eigenvectors of covariance matrices
    Yeh, CH
    PATTERN RECOGNITION LETTERS, 2003, 24 (15) : 2797 - 2806
  • [30] Wavelet-Based Event Detection Method Using PMU Data
    Kim, Do-In
    Chun, Tae Yoon
    Yoon, Sung-Hwa
    Lee, Gyul
    Shin, Yong-June
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (03) : 1154 - 1162
12345