Naslov
Algorithm for Generating Synthetic Datasets of Lightning Flashovers on Distribution Lines

Autori
Sarajcev, Petar

Vrsta, podvrsta
Radovi u časopisima, znanstveni

Izvornik
IEEE EUROCON 2023 international conference (2023)

Status rada
Prihvaćen

Ključne riječi
dataset ; distribution line ; flashover ; lightning ; machine learning

Sažetak
This paper describes an algorithm for generating synthetic datasets of lightning flashovers on medium voltage overhead distribution lines (OHL). Datasets are heterogeneous, hierarchical and class-imbalanced. They are designed specifically for training machine learning (ML) models (i.e. binary classifiers) for predicting lightning flashovers on OHLs, and they are built from both direct and indirect lightning strikes. Algorithm for creating datasets employs the Monte Carlo method and makes use of the several underlying mathematical models of lightning interaction with the OHL, which introduce "noise" and make training of the ML models more challenging. Algorithm is versatile enough to account for the different statistical properties of lightning interactions with distribution lines, starting from the bivariate probability distribution of lightning- current parameters. Example of the synthetic dataset will be presented, using a typical medium voltage OHL geometry with a horizontal conductors arrangement.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

Napomena
Preprint of the peer-reviewed and accepted version
of the paper for the IEEE EUROCON 2023
international conference.

POVEZANOST RADA