Statistical Safety Factor in Lightning Performance Analysis of Overhead Distribution Lines

Petar Sarajcev (), Dino Lovric and Tonko Garma
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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

Energies, 2022, vol. 15, issue 21, 1-19

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.

Keywords: lightning protection; insulation coordination; distribution line; safety factor; machine learning; support vector machine; bagging ensemble (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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