Application of Gaussian Copulas in Describing Station Impinging Lightning Overvoltages

Abstract

This paper presents an application of the bivariate Gaussian copulas in describing—by means of a statistical distribution function— station impinging lightning overvoltages, which could be subsequently employed in the statistical and semi-statistical methods of station insulation coordination. The proposed method further employs a state-of-the-art transmission line model for lightning-surge transient analysis, constructed within the EMTP software. It also makes use of the electrogeometric model of lightning attachment to transmission lines in order to estimate the shielding failure and backflashover rates. The proposed method efficiently generates random lightning currents from these non-normal and correlated bivariate statistical probability distributions and employs them in the Monte– Carlo simulation for the purpose of station equipment insulation coordination.

Petar Sarajčev

Full Professor | Department of Power Grids and Substations

Josip Vasilj

Associate Professor | Department of Power Grids and Substations

Researcher and Associate Professor at the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, where he teaches courses related to engineering economics, power system analysis, power grids and machine learning. His research focus is the application of advanced numerical methods to problems in the analysis and planning of power system operations.

Damir Jakus

Full Professor | Department of Power Grids and Substations

Researcher and a full professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split. His research interests include power system optimization and planning, RES integration, electricity market modeling.