IEEE 34 Nodes Test Feeder Simulation Data for High Impedance Fault Detection and Localization

The detection and localization of high impedance faults within distribution power networks is one of the biggest challenges in the field of power grid protection. Over the past two decades, numerous approaches for high-impedance fault detection and localization have been proposed to address this challenge. However, a substantial portion of these works tested their approaches using private real-world or simulation data characterized by diverse power system structures and parameters. This heterogeneity poses a substantial impediment to comprehensive performance evaluation and meaningful comparisons.To fill the blank of benchmark data, we simulate a wildly used power system-the IEEE 34-node test feeder- with the introduction of high-impedance fault through Matlab/Simulink. The resulting dataset contains various fault locations distributed across the power grid, two operational disturbances: load switching and capacitor switching, and a normal state with varying operation conditions. Furthermore, the simulation incorporates four distinct high-impedance fault settings commonly utilized in existing studies. The voltage and current signals are collected at all 34 nodes as well as the high-impedance fault module to provide comprehensive system information. Consequently, we hereby make this dataset accessible to researchers engaged in high-impedance fault detection and localization, relieving them from the burden of creating their own datasets and enabling reasonable comparisons of their methodologies with those of their peers.