IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i21p5670-d1781966.html
   My bibliography  Save this article

Simulation-Based Framework for Backflashover Rate Estimation in High-Voltage Transmission Lines Integrating Monte-Carlo, ATP-EMTP, and Leader Progression Model

Author

Listed:
  • André T. Lobato

    (Department of Electrical Engineering, Division of Electricity, Uppsala University, Box 65, 751 03 Uppsala, Sweden)

  • Liliana Arevalo

    (Department of Electrical Engineering, Division of Electricity, Uppsala University, Box 65, 751 03 Uppsala, Sweden
    HVDC R&D Department, Hitachi Energy Sweden AB, 722 12 Västerås, Sweden)

  • Rodolfo A. R. Moura

    (Department of Electrical Engineering, Federal University of São João del-Rei (UFSJ), São João del-Rei 36307-352, Brazil)

  • Marco Aurélio O. Schroeder

    (Department of Electrical Engineering, Federal University of São João del-Rei (UFSJ), São João del-Rei 36307-352, Brazil)

  • Vernon Cooray

    (Department of Electrical Engineering, Division of Electricity, Uppsala University, Box 65, 751 03 Uppsala, Sweden)

Abstract

Lightning-induced backflashovers pose significant risks to high-voltage transmission systems, particularly in high lightning activity regions. Conventional backflashover rate (BFR) estimation methods rely on simplified empirical formulas that lack accuracy in complex scenarios. This paper presents a comprehensive simulation framework integrating (i) a Simulation-Based Leader Progression Model (SB-LPM) implemented in COMSOL Multiphysics–MATLAB to evaluate lightning attachment through detailed electrostatic field analysis and streamer-leader dynamics, (ii) ATP-EMTP electromagnetic transient simulations incorporating multi-component Heidler function current waveforms, calibrated to regional lightning measurements, and (iii) a Monte Carlo analysis for statistical assessment of backflashover susceptibility. Applied to a representative 138 kV transmission line in Minas Gerais, Brazil, the framework shows that BFR results are highly sensitive to tower-footing impedance and attachment model selection. The SB-LPM yields systematically different predictions compared to traditional electrogeometric models, yielding approximately 10% lower BFR estimates at 20 Ω grounding impedance relative to the widely used Eriksson model. The framework enables comprehensive lightning performance assessment by incorporating geometry-sensitive attachment modeling, realistic current waveform synthesis, and detailed system transient response, providing valuable insights for transmission line insulation coordination studies.

Suggested Citation

  • André T. Lobato & Liliana Arevalo & Rodolfo A. R. Moura & Marco Aurélio O. Schroeder & Vernon Cooray, 2025. "Simulation-Based Framework for Backflashover Rate Estimation in High-Voltage Transmission Lines Integrating Monte-Carlo, ATP-EMTP, and Leader Progression Model," Energies, MDPI, vol. 18(21), pages 1-27, October.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:21:p:5670-:d:1781966
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/21/5670/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/21/5670/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:21:p:5670-:d:1781966. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.