Validation of a High Impedance Fault Model for Overhead Distribution
Networks Using Real Oscillography Data
High Impedance Faults (HIF) are serious disturbances that occur in power
distribution systems. Due to the low current levels, conventional
overcurrent-based protection systems do not detect this type of fault.
Some studies have been carried out in the diagnosis of this type of
disorder in order to accelerate their detection and location, reducing
the risk to people, environment, property, and damage to utilities. A
HIF computational model that is faithful to the real characteristics
influences decisively model-based HIF detection and localization tasks.
In this paper, a HIF model widely used in the literature is the first
time confronted with real oscillography data captured during actual HIF
incidents in overhead distribution networks. The results show that the
measured steady-state current signals match the HIF model.