A Novel Fault Detection Technique in Distribution System with the Penetration of DG using Mathematical Morphology

Abstract

Objective: In this paper a Mathematical Morphology (MM) technique is implemented for detection of fault in the distribution network system with the Distributed Generation (DG) integration. Method Analysis: The detection capability of MM is explored for fault detection objective on IEEE 13-node test feeder and further the system configuration is augmented and being analyzed with the penetration of DG. The various common morphological filters such as dilation-erosion difference filter and Close-Open Difference Filter used in MM is exploited for accomplishment of accurate and fast detection of fault. Findings: The simulation studies are performed in PSCAD/EMTDC environment and voltage/current waveforms obtained at different nodes are transferred to MATLAB and analyzed by using MM for the exact detection of the fault. In order to analyze the impact of DGs on the detection of fault, above procedure is to be performed on the test system in the presence and absence of DG and the results are compared in subsequent section. Improvement: On the contrary to the integral transform like wavelet transform, MM is time domain approach for the said objective whose simplicity and accuracy are the attractive feature for fault detection in power system signal.