A Fuzzy based Fault Type Detector for Remote Fault diagnosis of Distribution Feeders

Increasing energy demands has led to expansion of power infrastructure which also means that there is an increase in the number of lines subjected to faults due to short circuits or unintentional causes such as birds, falling of branches, etc,. Sometimes this causes an outage of power. Identification of the right fault type is necessary for quick power restoration. Hence accurate fault classification in power distribution substation is essential. The work presented in the paper aims to automate the fault type identification process using a fuzzy based algorithm thereby reducing the time required for power restoration. The experimental results indicate that the algorithm accurately detects the type of fault in single and multiple fault scenarios.