Non-Recursive System Identification and Fault Detection in LVDC and ELVDC Grids

Abstract

Low end extra low voltage direct current grids require selective fault protection designed for the specific application and system voltage. System identification and machine learning methods are helpful to identify, to localize and to classify occurring fault events. A category of non-recursive large-signal methods in the time domain for system identification and for refined fault detection and analysis is introduced.