Real-Time Detection of Transients Induced by High-Impedance Faults Based on the Boundary Wavelet Transform

被引:134
|
作者
Costa, Flavio B. [1 ]
Souza, B. A. [2 ]
Brito, N. S. D. [2 ]
Silva, J. A. C. B. [2 ]
Santos, W. C. [2 ]
机构
[1] Univ Fed Rio Grande do Norte, Sch Sci & Technol, BR-59078970 Natal, RN, Brazil
[2] Univ Fed Campina Grande, Dept Elect Engn, BR-58109970 Campina Grande, Brazil
关键词
High-impedance faults (HIFs); power system protection; wavelet transform; CLASSIFICATION; IMPLEMENTATION; RECOGNITION; PROTECTION; DIAGNOSIS; LOCATION; SCHEME;
D O I
10.1109/TIA.2015.2434993
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The development of modern protection functions is a challenge in the emerging environment of smart grids because the current protection system technology still has several limitations, such as the reliable high-impedance fault (HIF) detection in multigrounded distribution networks, which poses a danger to the public when the protection system fails. This paper presents the wavelet coefficient energy with border distortions of a one-cycle sliding window designed for the real-time detection of transients induced by HIFs. By using the border distortions, the proposed wavelet-based methodology presents a reliable detection of transients generated by HIFs with no time delay and energy peaks scarcely affected by the choice of the mother wavelet. The signatures of different HIFs are presented in both time and wavelet domains. The performance of the proposed wavelet-based method was assessed with compact and long mother wavelets by using data from staged HIFs on an actual energized power system, taking into account different fault surfaces, as well as simulated HIFs. The proposed method presented a more reliable and accurate performance than other evaluated wavelet-based algorithms.
引用
收藏
页码:5312 / 5323
页数:12
相关论文
共 50 条
  • [41] Delay in QRS Complex Detection Using the Wavelet Transform for Real-Time Applications
    Valenzuela-De la Cruz, Victor M.
    Gurrola-Navarro, M. A.
    Bonilla-Barragan, C. A.
    Carrasco-Alvarez, R.
    2017 14TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTING SCIENCE AND AUTOMATIC CONTROL (CCE), 2017,
  • [42] An Intelligent Detection of High-Impedance Faults for Distribution Lines Integrated With Distributed Generators
    Chaitanya, Bokka Krishna
    Yadav, Anamika
    Pazoki, Mohammad
    IEEE SYSTEMS JOURNAL, 2020, 14 (01): : 870 - 879
  • [43] TRANSIENTS DETECTION AND CLASSIFICATION IN DISTRIBUTION NETWORKS FOR HIGH IMPEDANCE FAULTS IDENTIFICATION
    Farias, Patrick Escalante
    de Morais, Adriano Peres
    Cardoso Junior, Ghendy
    Oliveira, Aecio L.
    2014 49TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2014,
  • [44] New insight into the detection of high-impedance arcing faults an dc trolley systems
    Li, JC
    Kohler, JL
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1999, 35 (05) : 1169 - 1173
  • [45] Real-time detection of optical transients with RAPTOR
    Borozdin, K
    Brumby, S
    Galassi, M
    McGowan, K
    Starr, D
    Vestrand, WT
    White, R
    Wozniak, P
    Wren, J
    ASTRONOMICAL DATA ANALYSIS II, 2002, 4847 : 344 - 353
  • [46] Real Time QRS Detection Based on Redundant Discrete Wavelet Transform
    Arrais Junior, E.
    Valentim, R. A. M.
    Brandao, G. B.
    IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (04) : 1662 - 1668
  • [47] ADAPTIVE REAL-TIME WAVELET DETECTION
    COHEN, A
    LANDSBERG, D
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1983, 30 (06) : 332 - 340
  • [48] High impedance fault detection based on wavelet transform and statistical pattern recognition
    Sedighi, AR
    Haghifam, MR
    Malik, OP
    Ghassemian, MH
    IEEE TRANSACTIONS ON POWER DELIVERY, 2005, 20 (04) : 2414 - 2421
  • [49] Analysis of typical PLC pulses for sensing high-impedance faults based on time-domain reflectometry
    de Oliveira, Lucas Giroto
    Filomeno, Mateus de L.
    Colla, Luiz Fernando
    Poor, H. Vincent
    Ribeiro, Moises, V
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 135
  • [50] High-Impedance Fault Detection in Distribution Networks Based on Support Vector Machine and Wavelet Transform Approach (Case Study: Markazi Province of Iran)
    Attar, Mohammad Sadegh
    Miveh, Mohammad Reza
    ENERGY SCIENCE & ENGINEERING, 2025, 13 (03) : 1171 - 1183