UPM Institutional Repository

High impedance fault detection in medium voltage distribution network using discrete wavelet transform and adaptive neuro-fuzzy inference system


Citation

Veerasamy, Veerapandiyan and Abdul Wahab, Noor Izzri and Ramachandran, Rajeswari and Mansoor, Muhammad and Thirumeni, Mariammal (2018) High impedance fault detection in medium voltage distribution network using discrete wavelet transform and adaptive neuro-fuzzy inference system. Energies, 11 (12). 1(24)-24(24). ISSN 1996-1073

Abstract

This paper presents a method to detect and classify the high impedance fault that occur in the medium voltage distribution network using discrete wavelet transform (DWT) and adaptive neuro-fuzzy inference system (ANFIS). The network is designed using Matlab software and various faults such as high impedance, symmetrical and unsymmetrical fault have been applied to study the effectiveness of the proposed ANFIS classifier method. This is achieved by training the ANFIS classifier using the features (standard deviation values) extracted from the three phase fault current signal by DWT technique for various cases of fault with different values of fault resistance in the system. The success and discrimination rate obtained for identifying and classifying the high impedance fault from the proffered method is 100% whereas the values are 66.7% and 85% respectively for conventional fuzzy based approach. The results indicate that the proposed method is more efficient to identify and discriminate the high impedance fault accurately from other power system faults in the system.


Download File

[img] Text (Abstract)
High impedance fault detection in medium voltage distribution network using discrete wavelet transform and adaptive neuro-fuzzy inference system.pdf

Download (9kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.20944/preprints201810.0687.v1
Publisher: MDPI
Keywords: Discrete Wavelet Transform (DWT); Adaptive Neuro-Fuzzy Inference System (ANFIS); Fuzzy Logic System (FLS); High Impedance Fault (HIF)
Depositing User: Mr. Sazali Mohamad
Date Deposited: 17 Oct 2020 21:21
Last Modified: 17 Oct 2020 21:21
Altmetrics: http://www.altmetric.com/details.php?domain=psair.upmedu.my&doi=10.20944/preprints201810.0687.v1
URI: http://psasir.upm.edu.my/id/eprint/74504
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item