Wavelet transform-based ground fault detection for LVDC microgrid

被引:0
作者
Lee K.-M. [1 ,2 ]
Park C.-W. [1 ,2 ]
机构
[1] Dept. of Electrical Engineering, Gangneung-Wonju National University
[2] Dept. of Electrical Engineering, Gangneung-Wonju National University
关键词
Ground fault detection; LVDC microgrid; PSCAD; Signal injection method; Ungrounded system; Wavelet transform;
D O I
10.5370/KIEE.2021.70.9.1289
中图分类号
学科分类号
摘要
LVDC Microgrid is a small-scale power grid that can increase the stability and efficiency of power supply in a small area, enabling independent operation and increasing the acceptability of DERs (Distributed Energy Resources). However, this is an ungrounded IT (Isolated Terre) grounding system, and even when a ground fault occurs, there is no fault current path and no significant difference compared to the steady state current, so fault detection is very difficult. WT (Wavelet Transform), an easy tool for transient analysis and signal identification, is to be applied to the detection of ground faults in LVDC Microgrid. In this paper, we propose a Wavelet transform-based ground fault detection method for an ungrounded LVDC Microgrid. By changing the level and order of various MW (Mother Wavelets) using the current collected in the existing pulse injection method, the optimal MW for ground fault detection method is derived. First, an ungrounded LVDC Microgrid is modeled using PSCAD s/w, and ground faults are simulated by varying the fault point and fault resistance. We implement the selected optimal Wavelet transform-based ground fault detection method using Matlab s/w. Finally, performance evaluation is performed through simulation using various collected signals. Copyright © The Korean Institute of Electrical Engineers.
引用
收藏
页码:1289 / 1294
页数:5
相关论文
共 50 条
[31]   Wavelet transform-based Fourier deconvolution for resolving oscillographic signals [J].
Zhang, XQ ;
Zheng, JB ;
Gao, H .
TALANTA, 2001, 55 (01) :171-178
[32]   Wavelet Transform-Based Land Cover Classification of Satellite Images [J].
Menaka, D. ;
Suresh, L. Padma ;
Premkumar, S. Selvin .
ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 2, 2015, 325 :845-854
[33]   A wavelet transform-based method for improved modeling of transmission lines [J].
Abur, A ;
Ozgun, O ;
Magnago, FH .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (04) :1432-1438
[34]   Wavelet transform-based weighted ν-twin support vector regression [J].
Wang, Lidong ;
Gao, Chuang ;
Zhao, Nannan ;
Chen, Xuebo .
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2020, 11 (01) :95-110
[35]   WTEC: a wavelet transform-based image exposure correction method [J].
Hu, Dunli ;
Zhao, Wei ;
Bi, Xin ;
Zhang, Xiaoping ;
Duan, Xingchen .
JOURNAL OF ELECTRONIC IMAGING, 2025, 34 (01)
[36]   Wavelet Transform-Spectral Kurtosis Based Hybrid Technique for Disturbance Detection in a Microgrid [J].
Ray, Prakash K. ;
Eddy, Y. S. Foo ;
Krishnan, Ashok ;
Dubey, Harish C. ;
Gooi, H. B. ;
Amaratunga, G. A. J. .
2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2018,
[37]   Wavelet Transform-Based Algorithm for Single Spike-and-Wave Discharges Detection in Epileptic Patients' Electroencephalogram [J].
Polivannyi, Filipp ;
Igasaki, Tomohiko ;
Murayama, Nobuki ;
Neshige, Ryuji .
2015 8TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI), 2015, :255-259
[38]   A novel wavelet transform based transient current analysis for fault detection and localization [J].
Bhunia, S ;
Roy, K ;
Segura, J .
39TH DESIGN AUTOMATION CONFERENCE, PROCEEDINGS 2002, 2002, :361-366
[39]   Detection of crosscountry fault and multiple disturbances in oscillographic data based on wavelet transform [J].
Costa F.B. ;
De Souza B.A. ;
Brito N.S.D. .
Controle y Automacao, 2010, 21 (02) :173-184
[40]   A Technique for High-Impedance Grounding Fault Detection Based on Wavelet Transform [J].
Yan, Guangtai ;
Ha, Hengxu ;
Hu, Xitong .
2012 INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES 2012), 2012, 13 :275-279