An Experimental Dataset for Validating Fault Location Identification Methods

Electromagnetic time reversal (EMTR) and similar traveling-wave-based (TWB) methods have gained attention as effective solutions for locating faults in electrical distribution grids. These methods analyze the transient signals caused by faults in the network and while showing great theoretical potential, their applicability in realistic real-world scenarios has not yet been fully proven. Most studies in this field rely on data obtained from simulations or overly simplified experimental setups. One key reason for this is the lack of high-sampling-rate experimental data from real electrical networks.This paper presents a detailed experimental dataset created by applying phase-to-ground faults at multiple locations in a real 52-buses medium-voltage distribution network. Both high and low fault impedance values were considered for each fault location. The data for each test includes three-phase currents and voltages at two separate locations in the network measured with a 400kHz sampling rate, as well as the fault current sampled at 200kHz. All measurements were recorded with GPS synchronization and high sampling rates. The dataset is available as open-data [1] and represents a valuable resource for validating fault-location methods, especially those using traveling wave techniques.