IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i21p7100-d669342.html
   My bibliography  Save this article

Artificial Negative Polarity Thunderstorm Cell Modeling of Nearby Incomplete Upward Discharges’ Influence on Elements of Monitoring Systems for Air Transmission Lines

Author

Listed:
  • Nikolay Lysov

    (Department of Electrophysics and High Voltage Technique, Moscow Power Engineering Institute, National Research University, 111250 Moscow, Russia)

  • Alexander Temnikov

    (Department of Electrophysics and High Voltage Technique, Moscow Power Engineering Institute, National Research University, 111250 Moscow, Russia)

  • Leonid Chernensky

    (Department of Electrophysics and High Voltage Technique, Moscow Power Engineering Institute, National Research University, 111250 Moscow, Russia)

  • Alexander Orlov

    (Department of Electrophysics and High Voltage Technique, Moscow Power Engineering Institute, National Research University, 111250 Moscow, Russia)

  • Olga Belova

    (Department of Electrophysics and High Voltage Technique, Moscow Power Engineering Institute, National Research University, 111250 Moscow, Russia)

  • Tatiana Kivshar

    (Department of Electrophysics and High Voltage Technique, Moscow Power Engineering Institute, National Research University, 111250 Moscow, Russia)

  • Dmitry Kovalev

    (Department of Electrophysics and High Voltage Technique, Moscow Power Engineering Institute, National Research University, 111250 Moscow, Russia)

  • Vadim Voevodin

    (Department of Electrophysics and High Voltage Technique, Moscow Power Engineering Institute, National Research University, 111250 Moscow, Russia)

Abstract

The article represents results of a physical simulation of incomplete upward leader discharges induced on air transmission lines’ elements, using charged artificial thunderstorm cells of negative polarity. The influence of such discharges on closely located model sensors (both of rod and elongated types) of digital monitoring systems, as well as on the models of receiver-transmission systems of local data collection (antennas), was determined. Effect of heterogeneity of electromagnetic field caused by incomplete upward discharges on frequency specter of signals generated on sensors and antennas was estimated. Wavelet analysis was carried out to determine the basic frequency diapasons of such signals. Based on experimental data obtained, suppositions about the extent of influence of nearby incomplete leader discharges on the functioning of currently used systems of transmission lines’ monitoring were made.

Suggested Citation

  • Nikolay Lysov & Alexander Temnikov & Leonid Chernensky & Alexander Orlov & Olga Belova & Tatiana Kivshar & Dmitry Kovalev & Vadim Voevodin, 2021. "Artificial Negative Polarity Thunderstorm Cell Modeling of Nearby Incomplete Upward Discharges’ Influence on Elements of Monitoring Systems for Air Transmission Lines," Energies, MDPI, vol. 14(21), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7100-:d:669342
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/21/7100/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/21/7100/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michal Wydra & Pawel Kubaczynski & Katarzyna Mazur & Bogdan Ksiezopolski, 2019. "Time-Aware Monitoring of Overhead Transmission Line Sag and Temperature with LoRa Communication," Energies, MDPI, vol. 12(3), pages 1-23, February.
    2. Hao Chen & Zhongnan Qian & Chengyin Liu & Jiande Wu & Wuhua Li & Xiangning He, 2021. "Time-Multiplexed Self-Powered Wireless Current Sensor for Power Transmission Lines," Energies, MDPI, vol. 14(6), pages 1-15, March.
    Full references (including those not matched with items on IDEAS)

    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. Davide Della Giustina & Stefano Rinaldi & Stefano Robustelli & Andrea Angioni, 2021. "Massive Generation of Customer Load Profiles for Large Scale State Estimation Deployment: An Approach to Exploit AMI Limited Data," Energies, MDPI, vol. 14(5), pages 1-26, February.
    2. Carlo Olivieri & Francesco de Paulis & Antonio Orlandi & Giorgio Giannuzzi & Roberto Salvati & Roberto Zaottini & Carlo Morandini & Lorenzo Mocarelli, 2019. "Remote Monitoring of Joints Status on In-Service High-Voltage Overhead Lines," Energies, MDPI, vol. 12(6), pages 1-17, March.
    3. Jing Li & Jinrui Tang & Xinze Wang & Binyu Xiong & Shenjun Zhan & Zilong Zhao & Hui Hou & Wanying Qi & Zhenhai Li, 2020. "Optimal Placement of IoT-Based Fault Indicator to Shorten Outage Time in Integrated Cyber-Physical Medium-Voltage Distribution Network," Energies, MDPI, vol. 13(18), pages 1-21, September.

    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:14:y:2021:i:21:p:7100-:d:669342. 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.