Voltage sags pattern recognition technique for fault section identification in distribution networks

This paper presents a method to identify a faulted section in a distribution network using voltage sags pattern characteristics. The method starts with fault analysis to establish analytical voltage sags database. When a fault occurs, the voltage sag at the monitored node is compared with the established voltage sags in the database to find all the possible faulted sections. Finally, the method applied rank reasoning analysis to prioritize all the possible faulted sections. The method has been tested on an urban distribution network feeder. The results show that the most fault sections in the tested distributed network feeder can be located by the first attempt. All remaining faulted sections can be found by the second attempt.