Fuzzy Logic Technique for High Impedance Fault Detection in Distribution Feeder

The distribution feeder faults need to be detected and isolated in a reliable Maintenance and operation of a distribution type electrical power system, calls for a safe, reliable and efficient fault detection systems. As the number of techniques available to detect faults do not address the above concerns in to-to, especially in the case of a High Impedance Faults. Keeping in view of aforesaid situation, a new approach based on Fuzzy Logic (FL) and wavelet transform is presented here for HIF detection. With the measured fault currents and normal current as the base, the standard deviations of the wavelet coefficients are used to gather data which act as inputs to the Fuzzy Logic model for the detection of High Impedance Faults on any given distribution feeder. A realistically developed HIF model using a typical IEEE 13 Radial Distribution System was used to determine the performance of the technique for different types of HIF such as Capacitor switching , Linear faults , transients etc. The method was found to be robust, fast and accurate.