High Impedance Fault Detection in Medium Voltage Distribution Systems Using Wavelet Transform

Year 2024, Volume: 4 Issue: 1, 40 - 49, 29.02.2024

Baraa Makkawi Ömer Usta

https://doi.org/10.5152/tepes.2024.24001

https://izlik.org/JA74BG58CK

Abstract

Conventional protection systems in distribution systems are capable of identifying low-impedance faults since such faults produce high fault current levels. However, in the case of high-impedance faults, protection schemes fail to detect a fault because such faults do not generate sufficient fault current to operate conventional protection devices and fuses. This paper presents a novel algorithm for high-impedance fault detection in medium-voltage distribution systems. The proposed algorithm leverages multi-resolution analysis using discrete wavelet transform analysis for improved reliability and accuracy. It extracts d5 coefficients at the transformer secondary terminal of all phases and the neutral, calculates their energies, integrates them, and determines the average slope, which is then compared to a threshold slope value to make the correct decision for high-impedance fault detection. The research explores the algorithm’s effectiveness through extensive testing using MATLAB/Simulink software, demonstrating its potential as a valuable tool for enhancing the reliability of medium-voltage distribution systems.

Keywords

Discrete wavelet transform , distribution systems , high impedance fault , fault detection , HIF modeling

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