DefinePK

Abstract

Accurate location of the fault in the line of a distribution network using mathematical morphological filtering technique is implemented in the paper. Different sorts of methods have been proposed for FL in distribution systems. FL methods can be grouped into three: (i) impedance-based methods (ii) traveling wave-based methods and (iii) methods based on neural networks. The Estimation of the fault distance by relating apparent impedance with the pre-known line data is done. The results location accuracy decreases due to the application of distribution networks with some laterals, sub-laterals, and load taps. Traveling wave-based, in contrast, is an FL method which is been widely used in transmission lines. Classification of methods based on wave-head identification, characteristic frequencies, single-end, two-end, and multi-end. Morphological filters such as dilation-erosion difference filter, Open Close-Close Open filter and Close-Open Difference Filter used in MM is utilized for the of accurate and fast detection of the fault location. The simulation studies are performed in MATLAB environment and voltage/current waveforms obtained at different nodes are transferred to MATLAB and analyzed by using MM for the exact location of the fault. and to analyze the impact on the detection of the fault. MM is the time domain approach for the above-said objective whose simplicity and accuracy are the attractive feature for fault location in power system signal.