IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i22p5973-d445760.html
   My bibliography  Save this article

Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards

Author

Listed:
  • Hong-Keun Ji

    (Physics and Engineering Division, National Forensic Service, Busan 50612, Korea)

  • Guoming Wang

    (Hangzhou Guozhou Power Technology Co., Ltd., Hangzhou 310015, China)

  • Gyung-Suk Kil

    (Department of Electrical and Electronics Engineering, Korea Maritime and Ocean University, Busan 49112, Korea)

Abstract

In this paper, a series arc was simulated under resistive load and motor load, which are mainly used in small ships, and the arc signal was analyzed using discrete wavelet transform. After calculating the correlation coefficient between the single arc pulse and the wavelet, Biorthogonal (bior) 3.1 was selected as the optimal mother wavelet, and the signal was analyzed using multiresolution analysis. From the results, arc signals were distributed in the detail components D2, D3, D4 and D5, corresponding to a frequency range of 19.5–312.5 kHz, with the optimal arc signal extracted based on these values. In addition, in order to distinguish between arc and normal conditions, signal energy was analyzed. By applying the magnitude and signal energy analysis method, the DC series arc generated in the power distribution system of a shipboard was identified.

Suggested Citation

  • Hong-Keun Ji & Guoming Wang & Gyung-Suk Kil, 2020. "Optimal Detection and Identification of DC Series Arc in Power Distribution System on Shipboards," Energies, MDPI, vol. 13(22), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5973-:d:445760
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/22/5973/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/22/5973/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hong-Keun Ji & Guoming Wang & Woo-Hyun Kim & Gyung-Suk Kil, 2018. "Optimal Design of a Band Pass Filter and an Algorithm for Series Arc Detection," Energies, MDPI, vol. 11(4), pages 1-13, April.
    2. Guoming Wang & Gyung-Suk Kil & Hong-Keun Ji & Jong-Hyuk Lee, 2017. "Disturbance Elimination for Partial Discharge Detection in the Spacer of Gas-Insulated Switchgears," Energies, MDPI, vol. 10(11), pages 1-12, November.
    3. Hsueh-Hsien Chang & Nguyen Viet Linh, 2017. "Statistical Feature Extraction for Fault Locations in Nonintrusive Fault Detection of Low Voltage Distribution Systems," Energies, MDPI, vol. 10(5), pages 1-20, April.
    4. Ferhat Ucar & Omer F. Alcin & Besir Dandil & Fikret Ata, 2018. "Power Quality Event Detection Using a Fast Extreme Learning Machine," Energies, MDPI, vol. 11(1), pages 1-14, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chaochun Yu & Liang Qi & Jie Sun & Chunhui Jiang & Jun Su & Wentao Shu, 2022. "Fault Diagnosis Technology for Ship Electrical Power System," Energies, MDPI, vol. 15(4), pages 1-16, February.
    2. Chunwang Xiaogeng LiRen & Xiaojun Ma & Fuxiang Chen & Zhicheng Yang & Sandeep Panchal, 2022. "Simulation and inspection of fault arc in building energy-saving distribution system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 331-339, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hong-Keun Ji & Guoming Wang & Woo-Hyun Kim & Gyung-Suk Kil, 2018. "Optimal Design of a Band Pass Filter and an Algorithm for Series Arc Detection," Energies, MDPI, vol. 11(4), pages 1-13, April.
    2. Qiwei Lu & Zeyu Ye & Yilei Zhang & Tao Wang & Zhixuan Gao, 2019. "Analysis of the Effects of Arc Volt–Ampere Characteristics on Different Loads and Detection Methods of Series Arc Faults," Energies, MDPI, vol. 12(2), pages 1-16, January.
    3. Yue Shen & Muhammad Abubakar & Hui Liu & Fida Hussain, 2019. "Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems," Energies, MDPI, vol. 12(7), pages 1-26, April.
    4. Kiyoto Takenaka & Yusuke Ishikawa & Yukio Mizuno & Wenyi Lin, 2020. "Arc Discharge–Induced Ignition of Combustibles Placed on a Damaged AC Power Supply Cord," Energies, MDPI, vol. 13(3), pages 1-15, February.
    5. Qiongfang Yu & Yaqian Hu & Yi Yang, 2019. "Identification Method for Series Arc Faults Based on Wavelet Transform and Deep Neural Network," Energies, MDPI, vol. 13(1), pages 1-12, December.
    6. Ferhat Ucar & Jose Cordova & Omer F. Alcin & Besir Dandil & Fikret Ata & Reza Arghandeh, 2019. "Bundle Extreme Learning Machine for Power Quality Analysis in Transmission Networks," Energies, MDPI, vol. 12(8), pages 1-26, April.
    7. Danilo Pinto Moreira de Souza & Eliane Da Silva Christo & Aryfrance Rocha Almeida, 2017. "Location of Faults in Power Transmission Lines Using the ARIMA Method," Energies, MDPI, vol. 10(10), pages 1-12, October.
    8. Hong-Keun Ji & Sung-Wook Kim & Gyung-Suk Kil, 2020. "Phase Analysis of Series Arc Signals for Low-Voltage Electrical Devices," Energies, MDPI, vol. 13(20), pages 1-14, October.
    9. Michal Jasiński & Tomasz Sikorski & Dominika Kaczorowska & Jacek Rezmer & Vishnu Suresh & Zbigniew Leonowicz & Paweł Kostyla & Jarosław Szymańda & Przemysław Janik, 2020. "A Case Study on Power Quality in a Virtual Power Plant: Long Term Assessment and Global Index Application," Energies, MDPI, vol. 13(24), pages 1-20, December.
    10. Michał Jasiński & Tomasz Sikorski & Zbigniew Leonowicz & Klaudiusz Borkowski & Elżbieta Jasińska, 2020. "The Application of Hierarchical Clustering to Power Quality Measurements in an Electrical Power Network with Distributed Generation," Energies, MDPI, vol. 13(9), pages 1-19, May.
    11. Marit Sigfrid Bakka & Erling Kristian Handal & Torgrim Log, 2020. "Analysis of a High-Voltage Room Quasi-Smoke Gas Explosion," Energies, MDPI, vol. 13(3), pages 1-14, January.
    12. Jorge De La Cruz & Eduardo Gómez-Luna & Majid Ali & Juan C. Vasquez & Josep M. Guerrero, 2023. "Fault Location for Distribution Smart Grids: Literature Overview, Challenges, Solutions, and Future Trends," Energies, MDPI, vol. 16(5), pages 1-37, February.
    13. Supanat Chamchuen & Apirat Siritaratiwat & Pradit Fuangfoo & Puripong Suthisopapan & Pirat Khunkitti, 2021. "High-Accuracy Power Quality Disturbance Classification Using the Adaptive ABC-PSO as Optimal Feature Selection Algorithm," Energies, MDPI, vol. 14(5), pages 1-18, February.
    14. Zhuo Liu & Tianzhen Wang & Tianhao Tang & Yide Wang, 2017. "A Principal Components Rearrangement Method for Feature Representation and Its Application to the Fault Diagnosis of CHMI," Energies, MDPI, vol. 10(9), pages 1-15, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5973-:d:445760. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.