EFFICIENT FAULT LOCALIZATION IN SMART GRID DISTRIBUTION SYSTEMS USING SMART DISCRETE FOURIER TRANSFORM AND DG SOURCES
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Efficient Fault Localization in Smart Grid Distribution Systems using Smart Discrete Fourier Transform and Dg Sources
Shyam Navanath Gadekar ,Dr. Mrs. A. U. Jawadekar , Mr. R. K. Mankar
M. E. (Student), Associate Professor, Electrical Engineering Department , S.S.G.M. College of Engineering,
Shegaon (M.S.), India ,eeshyamg@gmail.com , aujawadekar@ssgmce.ac.in
Abstract: This paper presents an accurate and efficient technique for fault section identification and fault distance estimation in electrical distribution networks operating within a Smartgrid environment integrated with Distributed Generation (DG) sources, including solar and wind farm. Accurate determination of fault locations based on impedance methods relies heavily on the precise calculation of transmission line impedances. Faults occurring on distribution lines pose a significant challenge, as they impact system reliability, service stability, and power quality. Improving the accuracy of fault location greatly simplifies maintenance activities, motivating the development of advanced approaches for precise fault localization. When a fault occurs, it generates a broad range of signals that contain critical information about the fault distance. Fault location algorithms typically process voltage and current phasors measured at both ends of the protected zone. Synchronized sampling of voltage and current at both terminals enables accurate fault distance computation, with the characteristic impedance and propagation constants derived from line parameters. This paper introduces a method based on the Smart Discrete Fourier Transform (SDFT), designed to mitigate system noise and measurement errors. By accurately extracting the fundamental frequency components, the SDFT-based approach enhances the reliability of fault location calculation. Simulation results confirm that the proposed method is effective for distribution networks with DG sources even under conditions of frequency deviation and distortion. All simulations were conducted using MATLAB, and the outcomes demonstrate that the proposed method achieves high efficiency and accuracy across various fault scenarios in typical distribution systems.
Keywords: Smart Discrete Fourier Transform (SDFT), Smart Grid, Distribution System, Distributed Generation (DG), MATLAB, and Fault Location Estimation.