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Statistical Safety Factor in Lightning Performance Analysis of Overhead Distribution Lines

Author

Listed:
  • Petar Sarajcev

    (Department of Electrical Power Engineering, FESB, University of Split, R. Boskovica 32, HR21000 Split, Croatia)

  • Dino Lovric

    (Department of Electrical Power Engineering, FESB, University of Split, R. Boskovica 32, HR21000 Split, Croatia)

  • Tonko Garma

    (Department of Electrical Power Engineering, FESB, University of Split, R. Boskovica 32, HR21000 Split, Croatia)

Abstract

This paper introduces a novel machine learning (ML) model for the lightning performance analysis of overhead distribution lines (OHLs), which facilitates a data-centrist and statistical view of the problem. The ML model is a bagging ensemble of support vector machines (SVMs), which introduces two significant features. Firstly, support vectors from the SVMs serve as a scaffolding, and at the same time give rise to the so-called curve of limiting parameters for the line. Secondly, the model itself serves as a foundation for the introduction of the statistical safety factor to the lightning performance analysis of OHLs. Both these aspects bolster an end-to-end statistical approach to the OHL insulation coordination and lightning flashover analysis. Furthermore, the ML paradigm brings the added benefit of learning from a large corpus of data amassed by the lightning location networks and fostering, in the process, a “big data” approach to this important engineering problem. Finally, a relationship between safety factor and risk is elucidated. THe benefits of the proposed approach are demonstrated on a typical medium-voltage OHL.

Suggested Citation

  • Petar Sarajcev & Dino Lovric & Tonko Garma, 2022. "Statistical Safety Factor in Lightning Performance Analysis of Overhead Distribution Lines," Energies, MDPI, vol. 15(21), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8248-:d:963644
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    References listed on IDEAS

    as
    1. Chien-Hsun Liu & Yirga Belay Muna & Yu-Tung Chen & Cheng-Chien Kuo & Hung-Yi Chang, 2018. "Risk Analysis of Lightning and Surge Protection Devices for Power Energy Structures," Energies, MDPI, vol. 11(8), pages 1-16, August.
    2. Jakub Furgał, 2020. "Influence of Lightning Current Model on Simulations of Overvoltages in High Voltage Overhead Transmission Systems," Energies, MDPI, vol. 13(2), pages 1-10, January.
    3. Pornchai Sestasombut & Atthapol Ngaopitakkul, 2019. "Evaluation of a Direct Lightning Strike to the 24 kV Distribution Lines in Thailand," Energies, MDPI, vol. 12(16), pages 1-31, August.
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    Cited by:

    1. Alice La Fata & Martino Nicora & Daniele Mestriner & Riccardo Aramini & Renato Procopio & Massimo Brignone & Federico Delfino, 2023. "Lightning Electromagnetic Fields Computation: A Review of the Available Approaches," Energies, MDPI, vol. 16(5), pages 1-21, March.

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