Naslov
Statistical Safety Factor in Lightning Performance Analysis of Overhead Distribution Lines

Autori
Sarajcev, Petar ; Lovric, Dino ; Garma, Tonko

Izvornik
Energies (1996-1073) 15 (2022), 21; 8248, 19

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
lightning protection ; insulation coordination ; distribution line ; safety factor ; machine learning ; support vector machine ; bagging ensemble

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA